Image prediction encoding/decoding system

ABSTRACT

An encoding target region in an image can be partitioned into a plurality of prediction regions. Based on prediction information of a neighboring region neighboring a target region, the number of previously-encoded prediction regions in the target region, and previously-encoded prediction information of the target region, a candidate for motion information to be used in generation of a predicted signal of the target prediction region as a next prediction region is selected from previously-encoded motion information of regions neighboring the target prediction region. According to the number of candidates for motion information selected, merging block information to indicate generation of the predicted signal of the target prediction region using the selected candidate for motion information and motion information detected by prediction information estimation means, or either one of the merging block information or the motion information is encoded.

This application is a continuation application of U.S. application Ser.No. 15/706,424, filed Sep. 15, 2017, which is a continuation applicationof U.S. application Ser. No. 15/282,580, filed Sep. 30, 2016, which is acontinuation of U.S. application Ser. No. 14/872,826, filed Oct. 1,2015, which is a continuation application of U.S. application Ser. No.13/745,414, filed Jan. 18, 2013, which is a continuation application ofPCT/JP2011/066120, filed Jul. 14, 2011, which claims the benefit of thefiling date under 35 U.S.C. § 119(e) of JP2010-163245, filed Jul. 20,2010, and JP2010-174869, filed Aug. 3, 2010, all of which areincorporated herein by reference.

TECHNICAL FIELD

The present invention relates to an image prediction encoding/decodingsystem that includes an image predictive encoding device, imagepredictive encoding method, and image predictive encoding program. Theimage prediction encoding/decoding system can also include an imagepredictive decoding device, image predictive decoding method, and imagepredictive decoding program. Particularly, aspects of the imageprediction encoding/decoding system can relate to an image predictiveencoding device, image predictive encoding method, image predictiveencoding program, image predictive decoding device, image predictivedecoding method, and image predictive decoding program to generate apredicted signal of a target block using motion information ofsurrounding blocks. Still another aspect of the image predictionencoding/decoding system relates to a video encoding device, videoencoding method, video encoding program, video decoding device, videodecoding method, and video decoding program to generate a predictedsignal with motion compensation by a motion vector.

BACKGROUND ART

Compression encoding technologies are used for efficient transmissionand storage of still images and video data. The systems of MPEG-1 to 4and ITU (International Telecommunication Union) H.261 to H.264 arecommonly used for video data.

SUMMARY OF INVENTION

Candidates for motion information to be used in block merging of aplurality of prediction blocks resulting from partition of a targetencoding block that is serving as an encoding target can be selected bythe same method, irrespective of the prediction blocks and surroundingsituations. (see, for example, Test Model under Consideration, JointCollaborative Team on Video Coding (JCT-VC) of ITU-T SG16 WP3 andISO/IEC JTC1/SC29/WG11, 1st Meeting: Dresden, DE, 15-23 Apr. 2010,Document: JCTVC-A205) For this reason, for example as shown in Fig. (B)of FIG. 2, candidates for motion information in generation of thepredicted signal of prediction block T2 can include the motioninformation of prediction block T1 in the same encoding block. Theprediction block partitioning type consisting of the prediction block T1and prediction block T2 can be prepared on the assumption that thepredicted signals of the two blocks are generated using different piecesof motion information. Therefore, it can be unfavorable that the motioninformation of prediction block T1 is included in the candidates formotion information of prediction block T2. Namely, it can result ininefficient coding.

In embodiments of an image prediction encoding/decoding system, at leastone of an image predictive encoding device, image predictive encodingmethod, image predictive encoding program, image predictive decodingdevice, image predictive decoding method, or image predictive decodingprogram are provided in which candidates for motion information to beused in generation of the predicted signal of the target predictionblock can be selected based on previously-encoded or previously-decodedprediction information (motion information and prediction blockpartitioning type) of the target coding block and surrounding codingblocks, to suppress occurrence of inefficient coding. Namely, imageprediction encoding/decoding system can provide at least one of theimage predictive encoding device, image predictive encoding method,image predictive encoding program, image predictive decoding device,image predictive decoding method, and image predictive decoding programcapable of achieving improvement in coding efficiency.

Furthermore, the image prediction encoding/decoding system includesmethods of carrying out the motion compensation prediction for each ofthe sub-partitions obtained by partitioning of a processing targetblock, such methods are also described in Japanese Patent ApplicationLaid-open No. 2005-277968 or Japanese Patent Application Laid-open No.2009-246972. In this motion compensation prediction, it is preferable togenerate the motion vector predictor for each sub-partition, based on amotion vector of a block prior in the processing order to a processingtarget sub-partition, and to encode only the differential motion vectorbetween the motion vector of the sub-partition and the motion vectorpredictor, in terms of code amount.

FIG. 23 is a drawing for explaining the motion compensation prediction.As shown in FIG. 23, a processing target block P may have asub-partition SP1 in contact with at least one block CP prior in aprocessing order to the block P, and a sub-partition SP2 having nocontact with the block CP. A motion vector V2 of such sub-partition SP2can be encoded as it is, without use of the motion vector predictor. Anexample of a method of encoding is described in Japanese PatentApplication Laid-open No. 2005-277968. This method is equivalent to amethod of setting the motion vector predictor to a zero vector.

On the other hand, in other methods, such as those described in JapanesePatent Application Laid-open No. 2009-246972, a motion vector predictorof sub-partition SP2 can be generated from the motion vector V1 of thesub-partition SP1, where sub-partition SP1 can be another sub-partitionin the block P and can be prior in the processing order to thesub-partition SP2. However, the motion vector of the sub-partition SP1and the motion vector of the sub-partition SP2 can originally beconsidered to be different from each other. Therefore, the methoddescribed in Japanese Patent Application Laid-open No. 2009-246972 mayfail to efficiently encode the motion vector of the sub-partition SP2.

Thus, the image prediction encoding/decoding system provides at leastone of a video encoding device, video encoding method, and videoencoding program capable of achieving improvement in coding efficiencyand a video decoding device, video decoding method, and video decodingprogram corresponding to the video encoding.

A first aspect that may be included in the image predictionencoding/decoding system relates to image predictive encoding.

An image predictive encoding device according to the first aspect of theimage prediction encoding/decoding system includes: region partitioningmeans which partitions an input image into a plurality of regions;prediction information estimation means: which sub-partitions a targetregion serving as an encoding target resulting from partitioning by theregion partitioning means into a plurality of prediction regions, whichdetermines a prediction block partitioning type indicating a number andregion shapes of the prediction regions suitable for the target region,which predicts motion information for acquisition of each of signalshighly correlated with the respective prediction regions from apreviously-reconstructed signal, and which obtains predictioninformation containing the prediction block partitioning type and themotion information; prediction information encoding means which encodesthe prediction information associated with the target region; predictedsignal generation means which generates a predicted signal of the targetregion, based on the prediction information associated with the targetregion; residual signal generation means which generates a residualsignal based on the predicted signal of the target region and a pixelsignal of the target region; residual signal encoding means whichencodes the residual signal generated by the residual signal generationmeans; residual signal restoration means which decodes encoded data ofthe residual signal to generate a reconstructed residual signal; andrecording means which adds the predicted signal to the reconstructedresidual signal to generate a restored pixel signal of the targetregion, and which stores the restored pixel signal as thepreviously-reconstructed signal. The prediction information encodingmeans is configured as follows: the prediction information encodingmeans has prediction information storage means which storespreviously-encoded prediction information; the prediction informationencoding means encodes the prediction block partitioning type of thetarget region and stores the prediction block partitioning type into theprediction information storage means; based on: the predictioninformation of a neighboring region neighboring the target region, thenumber of previously-encoded prediction regions in the target region,and the previously-encoded prediction information of the target region;the prediction information encoding means selects a candidate for motioninformation to be used in generation of a predicted signal of a targetprediction region serving as a next prediction region, frompreviously-encoded motion information of a region neighboring the targetprediction region; according to the number of candidates for the motioninformation selected, the prediction information encoding means encodesmerging block information indicative of generation of the predictedsignal of the target prediction region using the selected candidate formotion information and the motion information detected by the predictioninformation estimation means, or encodes either one of the merging blockinformation and the motion information, and stores the motioninformation to be used in generation of the predicted signal of thetarget prediction region, into the prediction information storage means.

The image prediction encoding/decoding system can also include an imagepredictive encoding method according to the first aspect that comprises:a region partitioning step of partitioning an input image into aplurality of regions; a prediction information estimation step ofsub-partitioning a target region serving as an encoding target resultingfrom partitioning in the region partitioning step, into a plurality ofprediction regions, determining a prediction block partitioning typeindicating a number and region shapes of prediction regions suitable forthe target region, estimating motion information for acquisition of eachof signals highly correlated with the respective prediction regions,from a previously-reconstructed signal, and obtaining predictioninformation containing the prediction block partitioning type and themotion information; a prediction information encoding step of encodingthe prediction information associated with the target region; apredicted signal generation step of generating a predicted signal of thetarget region, based on the prediction information associated with thetarget region; a residual signal generation step of generating aresidual signal based on the predicted signal of the target region and apixel signal of the target region; a residual signal encoding step ofencoding the residual signal generated in the residual signal generationstep; a residual signal restoration step of decoding encoded data of theresidual signal to generate a reconstructed residual signal; and arecording step of adding the predicted signal to the reconstructedresidual signal to generate a restored pixel signal of the targetregion, and storing the restored pixel signal as thepreviously-reconstructed signal. The prediction information encodingstep is configured as follows: the prediction information encoding stepcomprises encoding the prediction block partitioning type of the targetregion and storing the prediction block partitioning type intoprediction information storage means storing previously-encodedprediction information; the prediction information encoding stepcomprises, based on the prediction information of a neighboring regionneighboring the target region, the number of previously-encodedprediction regions in the target region, and the previously-encodedprediction information of the target region, selecting a candidate formotion information to be used in generation of a predicted signal of atarget prediction region serving as a next prediction region, frompreviously-encoded motion information of a region neighboring the targetprediction region; the prediction information encoding step comprises,according to the number of candidates for motion information selected,encoding merging block information indicative of generation of thepredicted signal of the target prediction region using the selectedcandidate for motion information and the motion information detected inthe prediction information estimation step, or encoding either one ofthe merging block information and the motion information, and storingthe motion information to be used in generation of the predicted signalof the target prediction region, into the prediction information storagemeans.

The image prediction encoding/decoding system can also include an imagepredictive encoding program according to the first aspect that causes acomputer to function as described by at least some the means of theimage predictive encoding device described above.

According to the first aspect of the image prediction encoding/decodingsystem, the candidate for motion information to be used in generation ofthe predicted signal of the target prediction block can be selectedbased on the previously-encoded prediction information (motioninformation and prediction block partitioning type) of the targetencoding block and surrounding encoding blocks, which suppressesoccurrence of inefficient coding.

In an embodiment, based on the number of previously-encoded predictionregions in the target region, the prediction block partitioning type ofthe target region, and the prediction block partitioning type of theneighboring region neighboring the target region, the candidate formotion information of the target prediction region serving as the nextprediction region may be selected from the previously-encoded motioninformation of the region neighboring the target prediction region.

In an embodiment, based on the number of previously-encoded predictionregions in the target region and the prediction block partitioning typeof the target region, the candidate for motion information of the targetprediction region serving as the next prediction region may be selectedfrom the previously-encoded motion information of the region neighboringthe target prediction region; when the target region is partitioned intotwo prediction regions and when the target prediction region is aprediction region to be encoded second in the target region, motioninformation of a region which is neighboring the target predictionregion and which is not included in the target region may be selected asthe candidate for motion information to be used in generation of thepredicted signal of the target prediction region.

In an embodiment, based on: the number of previously-encoded predictionregions in the target region, the prediction block partitioning type ofthe target region, the previously-encoded motion information in thetarget region, and the motion information of the neighboring regionneighboring the target region; the candidate for motion information tobe used in generation of the predicted signal of the target predictionregion serving as the next prediction region may be selected from thepreviously-encoded motion information of the region neighboring thetarget prediction region; when the target region is partitioned into twoprediction regions, when the target prediction region is a predictionregion to be encoded second in the target region, and when the motioninformation of the prediction region encoded first in the target regionis the same as motion information of a region which is neighboring thetarget prediction region and which is not included in the target region,it may be determined that the motion information of the regionneighboring the target prediction region is not used in generation ofthe predicted signal of the target prediction region, and the motioninformation may be encoded.

A second aspect that may be included in the image predictionencoding/decoding system relates to image predictive decoding.

An image predictive decoding device according to the second aspect ofthe image prediction encoding/decoding system comprises: data analysismeans which extracts, from compressed data of an image resulting frompartitioning into a plurality of regions, and encoding: encoded data ofprediction information to indicate a prediction method to be used inprediction of a signal of a target region serving as a decoding target,encoded data of a predicted signal of the target region, and encodeddata of a residual signal; prediction information decoding means whichdecodes the encoded data of the prediction information to restore aprediction block partitioning type indicating a number and region shapesof prediction regions that are sub-partitioned regions of the targetregion, and motion information for acquisition of each of predictedsignals of the respective prediction regions from apreviously-reconstructed signal; predicted signal generation means whichgenerates the predicted signal of the target region, based on theprediction information associated with the target region; residualsignal restoration means which restores a reconstructed residual signalof the target region from the encoded data of the residual signal; andrecording means which adds the predicted signal to the reconstructedresidual signal to restore a pixel signal of the target region, andwhich stores the pixel signal as the previously-reconstructed signal.

The prediction information decoding means can be configured as follows:the prediction information decoding means has prediction informationstorage means which stores previously-decoded prediction information;the prediction information decoding means decodes the prediction blockpartitioning type of the target region and stores the prediction blockpartitioning type into the prediction information storage means; basedon the prediction information of a neighboring region neighboring thetarget region, the number of previously-decoded prediction regions inthe target region, and the previously-decoded prediction information ofthe target region, the prediction information decoding means selects acandidate for motion information to be used in generation of a predictedsignal of a target prediction region as a next prediction region, frompreviously-decoded motion information of a region neighboring the targetprediction region; according to the number of candidates for motioninformation selected, the prediction information decoding means decodesmerging block information indicative of generation of the predictedsignal of the target prediction region using the selected candidate formotion information and the motion information, or either decodes one ofthe merging block information and the motion information, and stores themotion information to be used in generation of the predicted signal ofthe target prediction region, into the prediction information storagemeans.

An image predictive decoding method according to the second aspect ofthe image prediction encoding/decoding system comprises: a data analysisstep of extracting, from compressed data of an image resulting frompartitioning into a plurality of regions and encoding: encoded data ofprediction information to indicate a prediction method to be used inprediction of a signal of a target region serving as a decoding target,encoded data of a predicted signal of the target region, and encodeddata of a residual signal; a prediction information decoding step ofdecoding the encoded data of the prediction information to restore aprediction block partitioning type indicating a number and region shapesof prediction regions that are sub-partitioned regions of the targetregion, and motion information for acquisition of each of predictedsignals of the respective prediction regions from apreviously-reconstructed signal; a predicted signal generation step ofgenerating the predicted signal of the target region, based on theprediction information associated with the target region; a residualsignal restoration step of restoring a reconstructed residual signal ofthe target region from the encoded data of the residual signal; and arecording step of adding the predicted signal to the reconstructedresidual signal to restore a pixel signal of the target region, andstoring the pixel signal as the previously-reconstructed signal.

The prediction information decoding step is configured as follows: theprediction information decoding step comprises decoding the predictionblock partitioning type of the target region and storing the predictionblock partitioning type as previously-decoded prediction informationinto prediction information storage means that stores previously-decodedprediction information; the prediction information decoding stepcomprises, based on: the prediction information of a neighboring regionneighboring the target region, the number of previously-decodedprediction regions in the target region, and the previously-decodedprediction information of the target region; selecting a candidate formotion information to be used in generation of a predicted signal of atarget prediction region serving as a next prediction region, frompreviously-decoded motion information of a region neighboring the targetprediction region; and the prediction information decoding stepcomprises, according to the number of candidates for motion informationselected, decoding merging block information indicative of generation ofthe predicted signal of the target prediction region using the selectedcandidate for motion information and the motion information, or decodingeither one of the merging block information and the motion information,and storing the motion information to be used in generation of thepredicted signal of the target prediction region into the predictioninformation storage means.

The image prediction encoding/decoding system can also include an imagepredictive decoding program according to the second aspect that causes acomputer to function as described by at least some of the means of theimage predictive decoding device described above.

According to the second aspect of the image prediction encoding/decodingsystem, an image can be decoded from the compressed data generated bythe aforementioned image predictive encoding.

In an embodiment, based on the number of previously-decoded predictionregions in the target region, the prediction block partitioning type ofthe target region, and the prediction block partitioning type of theneighboring region neighboring the target region, the candidate formotion information of the target prediction region serving as the nextprediction region may be selected, from the previously-decoded motioninformation of the region neighboring the target prediction region.

In an embodiment, based on the number of previously-decoded predictionregions in the target region and the prediction block partitioning typeof the target region, the candidate for motion information to be used ingeneration of the predicted signal of the target prediction regionserving as the next prediction region may be selected from thepreviously-decoded motion information of the region neighboring thetarget prediction region; when the target region is partitioned into twoprediction regions and when the target prediction region is a predictionregion to be decoded second in the target region, motion information ofa region which is neighboring the target prediction region and which isnot included in the target region may be selected as the candidate formotion information of the target prediction region.

In an embodiment, based on the number of previously-decoded predictionregions in the target region, the prediction block partitioning type ofthe target region, the previously-decoded motion region in the targetregion, and the motion information of the neighboring region neighboringthe target region, the candidate for motion information to be used ingeneration of the predicted signal of the target prediction regionserving as the next prediction region may be selected, from thepreviously-decoded motion information of the region neighboring thetarget prediction region; when the target region is partitioned into twoprediction regions, when the target prediction region is a predictionregion to be decoded second in the target region, and when the motioninformation of the prediction region decoded first in the target regionis the same as motion information of a region which is neighboring thetarget prediction region and which is not included in the target region;it may be determined that the motion information of the regionneighboring the target prediction region is not used in generation ofthe predicted signal of the target prediction region, and the motioninformation may be decoded.

A third aspect of the image prediction encoding/decoding system relatesto video encoding.

The image prediction encoding/decoding system can include a videoencoding device according to the third aspect, which comprisespartitioning means, sub-partition generation means, motion detectionmeans, predicted signal generation means, motion prediction means,differential motion vector generation means, residual signal generationmeans, addition means, storage means, and encoding means. Thepartitioning means partitions an input image in a video sequence into aplurality of partitions. The sub-partition generation means partitions aprocessing target partition generated by the partitioning means, into aplurality of sub-partitions and generates shape information to specifyshapes of the sub-partitions. The motion detection means detects amotion vector of the processing target partition. The predicted signalgeneration means generates a predicted signal of the processing targetpartition from a previously-reconstructed image signal, using the motionvector detected by the motion detection means. The motion predictionmeans generates a motion vector predictor of the processing targetpartition, based on the shape information generated by the sub-partitiongeneration means and a motion vector of a previously-processed partialregion. The previously-processed partial region can be a partition or asub-partition prior in a processing order to the processing targetpartition. The differential motion vector generation means generates adifferential motion vector, based on a difference between the motionvector used in generation of the predicted signal of the processingtarget partition and the motion vector predictor. The residual signalgeneration means generates a residual signal based on a differencebetween the predicted signal and a pixel signal of the processing targetpartition. The addition means adds the residual signal to the predictedsignal to generate a reconstructed image signal. The storage meansstores the reconstructed image signal as a previously-reconstructedimage signal. The encoding means encodes: the residual signal generatedby the residual signal generation means, the differential motion vectorgenerated by the differential vector generation means, and the shapeinformation generated by the sub-partition generation means; to generatecompressed data. When a processing target sub-partition in theprocessing target partition has no contact with a partition prior in theprocessing order to the processing target sub-partition, the motionprediction means generates a motion vector predictor of the processingtarget sub-partition, based on a motion vector of a previously-processedpartial region belonging to a domain that also contains the processingtarget sub-partition or an other domain. The domain and the other domaincan be partitioned by an extension line of a boundary between theprocessing target sub-partition and another sub-partition in theprocessing target partition.

The image prediction encoding/decoding system can provide a videoencoding method according to the third aspect that comprises: (a) apartitioning step of partitioning an input image from a video sequenceinto a plurality of partitions; (b) a sub-partition generation step ofpartitioning a processing target partition generated in the partitioningstep, into a plurality of sub-partitions and generating shapeinformation to specify shapes of the sub-partitions; (c) a motiondetection step of detecting a motion vector of the processing targetpartition; (d) a predicted signal generation step of generating apredicted signal of the processing target partition from apreviously-reconstructed image signal, using the motion vector detectedin the motion detection step; (e) a motion prediction step of generatinga motion vector predictor of the processing target partition, based onthe shape information generated in the sub-partition generation step anda motion vector of a previously-processed partial region as a partitionor a sub-partition prior in a processing order to the processing targetpartition; (f) a differential motion vector generation step ofgenerating a differential motion vector, based on a difference betweenthe motion vector used in generation of the predicted signal of theprocessing target partition and the motion vector predictor; (g) aresidual signal generation step of generating a residual signal based ona difference between the predicted signal and a pixel signal of theprocessing target partition; (h) an addition step of adding the residualsignal to the predicted signal to generate a reconstructed image signal;(i) a storage step of storing the reconstructed image signal as apreviously-reconstructed image signal; and (j) an encoding step ofencoding: the residual signal generated in the residual signalgeneration step, the differential motion vector generated in thedifferential motion vector generation step, and the shape informationgenerated in the sub-partition generation step; to generate compresseddata. When a processing target sub-partition in the processing targetpartition has no contact with a partition prior in the processing orderto the processing target sub-partition, the motion prediction stepcomprises generating a motion vector predictor of the processing targetsub-partition, based on a motion vector of a previously-processedpartial region which belongs to either a domain containing theprocessing target sub-partition or an other domain. The domain and theother domain may be partitioned by an extension line of a boundarybetween the processing target sub-partition and another sub-partition inthe processing target partition.

The image prediction encoding/decoding system can also include a videoencoding program according to the third aspect that causes a computer tofunction as described by at least some of the means of the videoencoding device described above.

The domain including a sub-partition having no contact with a partitionprior in the processing order, out of the two domains defined by theaforementioned extension line of the boundary, is highly likely to havea motion similar to a motion of the sub-partition. Therefore, accordingto the third aspect, the accuracy of the motion vector predictorimproves, the value of the differential motion vector becomes smaller,and the motion vector is encoded with a smaller code amount. Therefore,the encoding efficiency improves.

A fourth aspect of the image prediction encoding/decoding system relatesto video decoding.

The image prediction encoding/decoding system can include a videodecoding device according to the fourth aspect that comprises decodingmeans, motion prediction means, vector addition means, predicted signalgeneration means, addition means, and storage means. The decoding meanscan decode compressed data to generate a reconstructed residual signalof a processing target partition in an image, a differential motionvector of the processing target partition, and shape information tospecify shapes of a plurality of sub-partitions in the processing targetpartition. The motion prediction means generates a motion vectorpredictor of the processing target partition, based on the shapeinformation and a motion vector of a previously-processed partial regionthat is a partition or a sub-partition prior in a processing order tothe processing target partition. The vector addition means adds themotion vector predictor generated by the motion prediction means, to thedifferential motion vector generated by the decoding means, to generatea motion vector of the processing target partition. The predicted signalgeneration means generates a predicted signal of the processing targetpartition from a previously-reconstructed image signal, based on themotion vector of the processing target partition. The addition meansadds the predicted signal to the reconstructed residual signal generatedby the decoding means, to generate a reconstructed image signal. Thestorage means stores the reconstructed image signal as apreviously-reconstructed image signal. When a processing targetsub-partition in the processing target partition has no contact with apartition prior in the processing order to the processing targetsub-partition, the motion prediction means generates a motion vectorpredictor of the processing target sub-partition, based on a motionvector of a previously-processed partial region belonging to either adomain containing the processing target sub-partition or an otherdomain. The domain and the other domain can be partitioned by anextension line of a boundary between the processing target sub-partitionand another sub-partition in the processing target partition.

The image prediction encoding/decoding system can also provide a videodecoding method according to the fourth aspect that is a method fordecoding compressed data to generate a video sequence, comprising: (a) adecoding step of decoding the compressed data to generate areconstructed residual signal of a processing target partition in animage, a differential motion vector of the processing target partition,and shape information to specify shapes of a plurality of sub-partitionsin the processing target partition; (b) a motion prediction step ofgenerating a motion vector predictor of the processing target partition,based on the shape information and a motion vector of apreviously-processed partial region as a partition or a sub-partitionprior in a processing order to the processing target partition; (c) avector addition step of adding the motion vector predictor generated inthe motion prediction step, to the differential motion vector generatedin the decoding step, to generate a motion vector of the processingtarget partition; (d) a predicted signal generation step of generating apredicted signal of the processing target partition from apreviously-reconstructed image signal, based on the motion vector of theprocessing target partition; (e) an addition step of adding thepredicted signal to the reconstructed residual signal generated in thedecoding step, to generate a reconstructed image signal; and (f) astorage step of storing the reconstructed image signal as apreviously-reconstructed image signal. When a processing targetsub-partition in the processing target partition has no contact with apartition prior in the processing order to the processing targetsub-partition, the motion prediction step comprises generating a motionvector predictor of the processing target sub-partition, based on amotion vector of a previously-processed partial region belonging toeither a domain containing the processing target sub-partition or another domain. The domain and the other domain being partitioned by anextension line of a boundary between the processing target sub-partitionand another sub-partition in the processing target partition.

The image prediction encoding/decoding system can also include a videodecoding program according to the fourth aspect that causes a computerto function as described by at least some of the means of the videodecoding device described above.

According to the fourth aspect, the motion vector predictor of thesub-partition is generated from a previously-decoded motion vector inthe domain containing the sub-partition which has no contact with apartition prior in the processing order. This motion vector predictor ishighly likely to be similar to the motion vector of the sub-partition.According to the forgoing embodiments, therefore, the accuracy of themotion vector predictor improves, the value of the differential motionvector becomes smaller, and it becomes feasible to perform decoding fromcompressed data with a smaller bit amount. Therefore, efficient decodingis achieved.

The image prediction encoding/decoding system comprising at least one ofan image predictive encoding device, image predictive encoding method,image predictive encoding program, image predictive decoding device,image predictive decoding method, and image predictive decoding programcan provide the effect of more efficient encoding of motion informationbecause the candidate for motion information to be used in generation ofthe predicted signal of the target prediction block can be selectedbased on the surrounding previously-encoded or previously-decodedinformation. Some other aspects of the image predictionencoding/decoding system can use the video encoding device, videoencoding method, and video encoding program capable of improving codingefficiency. Furthermore, the image prediction encoding/decoding systemcan include and/or provide at least some of the video decoding device,video decoding method, and video decoding program corresponding to theforegoing video encoding.

Other systems, methods, features and advantages will be, or will become,apparent to one with skill in the art upon examination of the followingfigures and detailed description. It is intended that all suchadditional systems, methods, features and advantages be included withinthis description, be within the scope of the invention, and be protectedby the following claims.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a block diagram showing an example image predictive encodingdevice according to an embodiment.

FIG. 2 is a schematic diagram example for explaining candidates formotion information in the conventional block merging.

FIG. 3 is a schematic diagram example for explaining candidates formotion information in block merging according to an embodiment.

FIG. 4 is a flowchart to illustrate an example processing procedure of aprediction information encoder shown in FIG. 1.

FIG. 5 is a flowchart showing an example procedure of an imagepredictive encoding method of the image predictive encoding device shownin FIG. 1.

FIG. 6 is a block diagram showing an example image predictive decodingdevice according to an embodiment.

FIG. 7 is a flowchart to illustrate an example processing procedure of aprediction information decoder shown in FIG. 6.

FIG. 8 is a flowchart showing an example procedure of an imagepredictive decoding method of the image predictive decoding device shownin FIG. 6.

FIG. 9 is a first schematic drawing of an example for explainingprocesses using motion information of a plurality of neighboring blocksneighboring a target prediction block, as motion information of thetarget prediction block.

FIG. 10 is a second schematic drawing of an example for explainingprocesses using motion information of a plurality of neighboring blocksneighboring a target prediction block, as motion information of thetarget prediction block.

FIG. 11 is a flowchart to illustrate an example of a process usingmotion information of a plurality of neighboring blocks neighboring atarget prediction block, as motion information of the target predictionblock.

FIG. 12 is a third schematic drawing of an example for explainingprocesses using motion information of a plurality of neighboring blocksneighboring a target prediction block, as motion information of thetarget prediction block.

FIG. 13 is a second example of a flowchart to illustrate a process usingmotion information of a plurality of neighboring blocks neighboring atarget prediction block, as motion information of the target predictionblock.

FIG. 14 is a second example of a schematic diagram for explainingcandidates for motion information in block merging according to anembodiment.

FIG. 15 is a third example of a schematic diagram for explainingcandidates for motion information in block merging according to anembodiment.

FIG. 16 is a block diagram showing an example of a program capable ofexecuting the image predictive encoding method according to anembodiment.

FIG. 17 is a block diagram showing an example of a program capable ofexecuting the image predictive decoding method according to anembodiment.

FIG. 18 is a drawing showing an example of a hardware configuration of acomputer for executing a program recorded in a recording medium.

FIG. 19 is a perspective view of an example of a computer for executinga program stored in a recording medium.

FIG. 20 is a schematic diagram of an example for explaining predictionblock partitioning types of encoding blocks.

FIG. 21 is a schematic diagram about an example of a motion estimationprocess (A) and a template matching process (B) in inter-pictureprediction.

FIG. 22 is a schematic diagram for explaining an example of theconventional intra-picture prediction method.

FIG. 23 is a drawing for explaining an example of the motion compensatedprediction.

FIG. 24 is a drawing schematically showing a configuration of a videoencoding device according to an embodiment.

FIG. 25 is a drawing for explaining an example of generation ofsub-partitions.

FIG. 26 is a drawing showing an example of a configuration of a motionpredictor in an embodiment.

FIG. 27 is a flowchart of an example of a video encoding methodaccording to an embodiment.

FIG. 28 is a flowchart showing an example of a process of the motionpredictor according to an embodiment.

FIG. 29 is a drawing showing an example of sub-partitions of a targetpartition and surrounding partial regions.

FIG. 30 is a drawing showing another example of sub-partitions of atarget block and surrounding partial regions.

FIG. 31 is a drawing showing still other examples of sub-partitions of atarget block and surrounding partial regions.

FIG. 32 is a drawing showing still another example of sub-partitions ofa target block and a surrounding partial region.

FIG. 33 is a drawing showing still another example of sub-partitions ofa target block and surrounding partial regions.

FIG. 34 is a drawing schematically showing an example of a configurationof a video decoding device according to an embodiment.

FIG. 35 is a drawing showing an example of a configuration of a motionpredictor according to an embodiment.

FIG. 36 is a flowchart of an example of a video decoding methodaccording to an embodiment.

FIG. 37 is a flowchart showing an example of a process of the motionpredictor according to an embodiment.

FIG. 38 is a drawing showing an example of a configuration of a videoencoding program according to an embodiment.

FIG. 39 is a drawing showing an example of a configuration of a videodecoding program according to an embodiment.

DESCRIPTION OF EMBODIMENTS

A variety of embodiments will be described below in detail withreference to the accompanying drawings. In the description of thedrawings identical or equivalent elements will be denoted by the samereference signs, without redundant description.

In encoding systems, an image serving as an encoding target can bepartitioned into a plurality of blocks and then an encoding process or adecoding process can be carried out. In intra-picture predictiveencoding, a predicted signal can be generated using a neighboringpreviously-reconstructed image signal (i.e. signal reconstructed fromcompressed image data) present in the same picture as a target block andthen a differential signal obtained by subtracting the predicted signalfrom a signal of the target block can be encoded. In inter-picturepredictive encoding, motion compensation can be performed with referenceto a neighboring previously-reconstructed image signal present in apicture different from a target block to generate a predicted signal,and a difference signal obtained by subtracting the predicted signalfrom a signal of the target block can be encoded.

For example, the intra-picture predictive encoding of H.264 employs amethod of generating the predicted signal by extrapolatingpreviously-reconstructed pixel values neighboring a block serving as anencoding target, in a predetermined direction. FIG. 22 is a schematicdiagram for explaining an example of an intra-picture prediction methodsuch as the method used in ITU H.264. In (A) of FIG. 22, target block802 is a block serving as an encoding target, and a pixel group 801consisting of pixels PA-P_(L) neighboring a boundary of the target block802 is a neighboring region, which is an image signal previouslyreconstructed in past processing.

In the case shown in (A) of FIG. 22, the predicted signal can begenerated by downwardly extending the pixel group 801 which includesneighboring pixels located immediately above the target block 802. Inthe case shown in (B) of FIG. 22, the predicted signal can be generatedby rightwardly extending previously-reconstructed pixels (P_(I)-P_(L))located to the left of the target block 804. An example of specificmethods for generation of a predicted signal are described, for example,in U.S. Pat. No. 6,765,964. A difference is calculated between each ofnine predicted signals generated by the methods shown in (A) to (I) ofFIG. 22 in the above-described manner, and the pixel signal of thetarget block, and the predicted signal with the smallest difference isselected as an optimum predicted signal. As described above, thepredicted signal can be generated by extrapolation of pixels. At leastpart of the contents above are described in U.S. Pat. No. 6,765,964.

In inter-picture predictive encoding, the predicted signal for a blockserving as an encoding target can be generated by a method of searchingpreviously-reconstructed pictures for a signal similar to a pixel signalof the target block. A motion vector that is a spatial displacementamount between the target block and a region composed of the detectedsignal, and a residual signal between the pixel signal of the targetblock and the predicted signal can then be encoded. The searchingtechnique for a motion vector for each block, such as the searchingtechnique described above can be referred to as block matching.

FIG. 21 is a schematic diagram for explaining a block matching process.The below will describe a procedure of generating a predicted signal foran example of target block 702 on encoding target picture 701. Picture703 is an example of a previously-reconstructed picture and region 704is a region located spatially at the same position as target block 702.In an example of the block matching, a search range 705 around theregion 704 is set and a region 706 to minimize the sum of absolutedifferences from the pixel signal of the target block 702 can bedetected from a pixel signal of this search range. The signal of thisregion 706 is determined to be a predicted signal, and a displacementamount from region 704 to region 706 can be detected as a motion vector707. Also employed can be a method of preparing a plurality of referencepictures 703, selecting a reference picture to be used in block matchingfor each target block, and detecting reference picture selectioninformation. In some examples, such as in H.264, a plurality ofprediction types of different block sizes for encoding of motion vectorscan be prepared, in order to adapt for local feature changes of images.At least some examples of prediction types of H.264 are described, forexample, in U.S. Pat. No. 7,003,035.

In compression encoding of video data, an encoding order of pictures(frames or fields) may be optional. There can be three types oftechniques about the encoding order in the inter-picture prediction togenerate the predicted signal with reference to previously-reconstructedpictures. The first technique can be referred to as forward predictionto generate the predicted signal with reference to a pastpreviously-reconstructed picture in a reproduction order, the secondtechnique can be referred to as backward prediction to generate thepredicted signal with reference to a future previously-reconstructedpicture in the reproduction order, and the third technique can bereferred to as bidirectional prediction to perform both forwardprediction and backward prediction and average two predicted signals.Examples of some types of inter-picture predictions are described, forexample, in U.S. Pat. No. 6,259,739.

In HEVC (High efficiency video coding), such as under standardization asa next-generation video encoding system, introduction of asymmetricdivisions, or partitions, as shown in the example of (E) to (F) of FIG.20 can occur as partitioning types of a prediction block, in addition torectangular bisections shown in the examples of (B) and (C) of FIG. 20and square quartering shown in the example of (D) of FIG. 20. In anexample of HEVC, a further technique can be to use parameters such asmotion information (the motion vector, the reference pictureinformation, and an inter-picture prediction mode to identifyforward/backward/bidirectional prediction) of a block neighboring atarget prediction block serving as a prediction target, on the occasionof generating the predicted signal of the prediction block partitionedin this manner. This prediction technique can generally be referred toas block merging and can enable efficient coding of motion information.(A) of FIG. 2 is a drawing schematically illustrating an example ofneighboring blocks in block merging with prediction block T1 generatedby vertical partition of encoding block 400. The predicted signal ofprediction block T1 can be generated using 1) motion information ofneighboring block A, 2) motion information of neighboring block B, or 3)motion information detected in block matching. For example, when anencoder selects the motion information of neighboring block A, theencoder can first set merge identification information (merge_flag)indicative of use of motion information of neighboring block to“merge_flag=1” and transmit the merge identification information(merge_flag) to a decoder. Second, the encoder can set merge blockselection information (merge_flag_left) indicative of use of neighboringblock A out of neighboring block A and neighboring block B, to“merge_flag_left=1” and transmit the merge block selection information(merge_flag_left) to the decoder. The decoder, receiving the two piecesof information, can identify that the predicted signal of the targetprediction block should be generated using the motion information ofneighboring block A. Similarly, when the decoder receives “merge_flag=1”and “merge_flag_left=0” (selection of neighboring block B), it canidentify that the predicted signal of the target prediction block shouldbe generated using the motion information of neighboring block B; whenit receives “merge_flag=0,” it can identify that it should furtherreceive the motion information from the encoder, and restore the motioninformation of the target prediction block. Examples of block mergingare also described in U.S. Pat. No. 6,765,964.

In inter-picture prediction, in the standards such as MPEG-1, MPEG-2 andMPEG-4, each picture is partitioned into a set of rectangular blockswithout an overlap among them, and a motion vector is associated witheach of the blocks. The motion vector is one obtained by motion searchfor each block and represents a horizontal displacement and a verticaldisplacement of a current block from a second block used for predictionof the image signal of the current block.

Japanese Patent Application Laid-open No. 2005-277968 describes anexample of a method for carrying out motion compensation prediction withhigher accuracy in situations where a boundary of motion exists in anoblique direction in a block. An example of this method is to furtherpartition a block into nonrectangular sub-partitions and perform motioncompensated prediction for each of the sub-partitions. Japanese PatentApplication Laid-open No. 2009-246972 describes an example of a methodof further partitioning a block into small rectangular sub-partitionsand performing motion compensation prediction for each of thesub-partitions. In examples of this method, for encoding a motion vectorof a processing target sub-partition, a motion vector predictor can begenerated from a motion vector of a block being in contact with theprocessing target sub-partition and located prior in a processing orderto the sub-partition, and a difference between the motion vector of theprocessing target sub-partition and the motion vector predictor, i.e., adifferential motion vector only can be encoded. In examples of thismethod, if the processing target sub-partition has no contact with ablock prior in the processing order, the motion vector predictor of theprocessing target sub-partition can be generated from a motion vector ofanother sub-partition prior in the processing order in the blockincluding the processing target sub-partition.

FIG. 1 is a block diagram showing an image predictive encoding device100 according to an embodiment. This image predictive encoding device100 is provided with input terminal 101, block partitioner 102,predicted signal generator 103, frame memory 104, subtracter 105,transformer 106, quantizer 107, inverse quantizer 108, inversetransformer 109, adder 110, quantized transform coefficient encoder 111,output terminal 112, prediction block partitioning type selector 113,motion information estimator 114, prediction information memory 115, andprediction information encoder 116. The image predictive encoding device100 may be a computing device or computer, including for examplesoftware, hardware, or a combination of hardware and software, asdescribed later, capable of performing the described functionality. Theimage predictive encoding device 100 may be one or more separate systemsor devices included in the image prediction encoding/decoding system, ormay be combined with other systems or devices within the imageprediction encoding/decoding system. In other examples, fewer oradditional blocks may be used to illustrate the functionality of theimage predictive encoding device 100.

The transformer 106, quantizer 107, and quantized transform coefficientencoder 111 function as residual signal encoding units, or means, andthe inverse quantizer and inverse transformer function as residualsignal restoration units, or means. The prediction block partitioningtype selector 113 and motion information estimator 114 function asprediction information estimation units, or means, and the predictioninformation memory 115 and prediction information encoder 116 asprediction information encoding units, or means. The term “unit” isdefined to include one or more executable parts of a image predictiveencoding device or image predictive decoding device. As describedherein, the units are defined to include software, hardware, or somecombination thereof executable by a processor (described later).Software included in the units may include instructions stored inmemory, or any other computer readable storage medium, that areexecutable by the processor, or any other processor. Hardware includedin the units may include various devices, components, circuits, gates,circuit boards, and the like that are executable, directed, and/orcontrolled for performance by the processor.

The input terminal 101 is a terminal that accepts input of a signal of avideo sequence consisting of a plurality of images.

The block partitioner 102 partitions an image serving as an encodingtarget represented by a signal input from the input terminal 101, into aplurality of regions (encoding blocks). In the present embodiment theencoding target image is partitioned into blocks each consisting of16×16 pixels, but the image may be partitioned into blocks of any othersize or shape. Furthermore, blocks of different sizes may be mixed in aframe.

The prediction block partitioning type selector 113 partitions a targetregion (target encoding block) serving as an encoding target intoprediction regions to be subjected to a prediction process. For example,it selects one of (A) to (H) in FIG. 20 for each encoding block andsub-partitions the encoding block according to the selected mode. Eachpartitioned region is called a prediction region (prediction block) andeach of the partitioning methods (A) to (H) in FIG. 20 is called aprediction block partitioning type. An available method of selecting aprediction block partitioning type is, for example, a method of carryingout each of sub-partitions of the signal of the target encoding blockfed via line L102, actually carrying out below-described predictionprocessing and encoding processing, and selecting a partitioning type tominimize a rate-distortion value calculated from the power of anencoding error signal between the original signal of the encoding blockand a reconstructed signal, and a code amount necessary for encoding ofthe encoding block, but is not limited thereto. The prediction blockpartitioning type of the target encoding block is output via line L113a, via line L113 b, and via line L113 c to the prediction informationmemory 115, to the motion information estimator 114, and to thepredicted signal generator 103, respectively.

The motion information estimator 114 detects motion informationnecessary for generation of a predicted signal of each prediction blockin the target encoding block. An applicable method of generation of thepredicted signal (prediction method) are inter-picture prediction andthe intra-picture prediction (the intra-picture prediction is not shown)as described in the background, but are not limited thereto. It isassumed herein that the motion information is detected by the blockmatching shown in FIG. 21. An original signal of the target predictionblock being a prediction target can be generated from the originalsignal of the encoding block fed via line L102 a and the predictionblock partitioning type of the target encoding block fed via line L113b. A predicted signal to minimize the sum of absolute differences forthe original signal of the target prediction block is detected fromimage signals acquired via line L104. In this case, the motioninformation contains a motion vector, an inter-picture prediction mode(forward/backward/bidirectional prediction), a reference frame number,and so on. The detected motion information is output each via line L114to the prediction information memory 115 and the prediction informationencoder 116.

The prediction information memory 115 stores the input motioninformation and prediction block partitioning type.

The prediction information encoder 116 selects candidates for motioninformation to be used in block merging of each prediction block,entropy-encodes prediction information of the target encoding block, andoutputs the encoded data via line L116 to the output terminal 112. Anapplicable method of entropy encoding includes the arithmetic coding,the variable length coding, and so on, but is not limited thereto. Theprediction information contains block merging information for executionof block merging using motion information of blocks neighboring theprediction block, in addition to the prediction block partitioning typeof the target encoding block and the motion information of theprediction block. The process of the prediction information encoder 116will be described later.

The predicted signal generator 103 acquires previously-reconstructedsignals from the frame memory 104, based on the motion information ofeach prediction block in the target encoding block fed via line L114 andthe prediction block partitioning type fed via line L113 c, andgenerates a predicted signal of each prediction block in the targetencoding block.

The predicted signal generated in the predicted signal generator 103 isoutput via line L103 to the subtracter 105 and the adder 110.

The subtracter 105 subtracts the predicted signal for the targetencoding block fed via line L103, from the pixel signal of the targetencoding block fed via line L102 b after being partitioned by the blockpartitioner 102, to generate a residual signal. The subtracter 105outputs the residual signal obtained by the subtraction, via line L105to the transformer 106.

The transformer 106 is a part that performs a discrete cosine transformon the input residual signal. The quantizer 107 is a part that quantizestransform coefficients obtained by the discrete cosine transform by thetransformer 106. The quantized transform coefficient encoder 111entropy-encodes the quantized transform coefficients obtained by thequantizer 107. The encoded data is output via line L111 to the outputterminal 112. An applicable method of entropy encoding includes thearithmetic coding, the variable length coding, and so on, but is notlimited thereto.

The output terminal 112 outputs the pieces of information input from theprediction information encoder 116 and the quantized transformcoefficient encoder 111, together to the outside.

The inverse quantizer 108 performs inverse quantization on the quantizedtransform coefficients. The inverse transformer 109 performs an inversediscrete cosine transform to restore a residual signal. The adder 110adds the restored residual signal to the predicted signal fed via lineL103, to reconstruct a signal of the target encoding block, and storesthe reconstructed signal into the frame memory 104. The presentembodiment employs the transformer 106 and the inverse transformer 109,but another transform process may be employed instead of thesetransformers. Furthermore, the transformer 106 and the inversetransformer 109 are not always essential. In this manner, for use ingeneration of the predicted signal of the subsequent target encodingblock, the reconstructed signal of the target encoding block subjectedto encoding is restored by the inverse process to be stored in the framememory 104.

Next, the process of the prediction information encoder 116 will bedescribed. The prediction information encoder 116 first selectscandidates for motion information to be used in block merging of eachprediction block (candidates for motion information to be used ingeneration of a predicted signal of a target prediction region) from themotion information of blocks neighboring the target prediction block.The block merging refers to generation of the predicted signal of thetarget prediction block using the motion information of neighboringblocks. Next, the prediction information encoder 116 compares the motioninformation detected by the motion information estimator 114, with thecandidates for motion information thus selected, to determine whetherblock merging is to be carried out. Then, according to the number ofcandidates for motion information to be used in block merging, and theapplicability of execution of block merging, the prediction informationencoder 116 entropy-encodes either or both of block merging informationand the motion information, along with the prediction block partitioningtype. The block merging information includes merging identificationinformation (merge_flag) to indicate whether the predicted signal of thetarget prediction block is to be generated using motion information of aneighboring block, i.e., whether block merging is to be carried out, andmerging block selection information (merge_flag_left) to indicate whichshould be used between pieces of motion information of two or moreblocks neighboring the target prediction block to generate the predictedsignal of the target prediction block.

If there is no candidate for motion information to be used in blockmerging of each prediction block, there is no need for encoding thesetwo pieces of information, i.e., the merging identification informationand the merging block selection information. If there is one candidatefor motion information, the merging identification information isencoded; if there are two or more candidates for motion information andif block merging is carried out, the two pieces of information, i.e.,the pieces of merging identification information and merging blockselection information are encoded. Even with two or more candidates formotion information, there is no need for encoding of the merging blockselection information if block merging is not carried out.

FIG. 3 is a schematic diagram for explaining a process of selectingcandidates for motion information to be used in block merging of aprediction block according to an embodiment. FIG. 3 shows an example ofa prediction block partitioning type to vertically bisect the encodingblock (or to partition the encoding block into right and left blocks),as in the case of the block 301 shown in (B) of FIG. 20. The below willdescribe this block 301 as an example, but the same description alsoapplies to blocks 302, 304, 305, 306, and 307.

Selection of a candidate for motion information is carried out based oninformation below.

1) The number of already-encoded/already-decoded prediction blocks inthe target encoding block

2) The prediction block partitioning type of the target encoding block

3) The prediction block partitioning type of a block neighboring thetarget prediction block

4) The motion information of the already-encoded/already-decodedprediction blocks in the target encoding block

5) The motion information and the prediction mode (intra-pictureprediction/inter-picture prediction) of the block neighboring the targetprediction block

In the example of FIG. 3, a candidate for motion information to be usedin block merging is selected using the pieces of information of 1), 2),4), and 5).

First, it is found from the information of 2) that the total number ofprediction blocks in the target encoding block 400 is 2, predictionblocks T1 and T2, and that the encoding block is vertically partitionedinto two sub-partitions. It is found from the information of 1) that thenext prediction block is either prediction block T1 or prediction blockT2.

When the next prediction block is the prediction block T1 (or when thenumber of already-encoded/already-decoded prediction blocks in thetarget encoding block is 0), pieces of motion information of neighboringblock A and neighboring block B are set as candidates for motioninformation for block merging (arrows in the drawing indicate thatpieces of motion information of neighboring blocks A and B arecandidates for motion information to be used in generation of thepredicted signal of prediction block T1). On this occasion, if theneighboring block A or B is a block generated by intra-pictureprediction or a block outside the picture, the motion information of theblock may be excluded from candidates for motion information for blockmerging (it is also possible to set the motion information to a pseudodefault value; for example, the motion vector is set to 0 and thereference frame number to 0). If pieces of motion information of the twoneighboring blocks A and B are identical with each other, the motioninformation of one neighboring block may be excluded from thecandidates.

When the next prediction block is the prediction block T2 (or when thenumber of already-encoded/already-decoded prediction blocks in thetarget encoding block is 1), as shown in (A) of FIG. 3, the motioninformation of the neighboring block T1 is excluded from candidates formotion information for block merging. This is because the targetencoding block is originally partitioned into two blocks on theassumption that the predicted signals of the prediction block T1 and theprediction block T2 are generated from different pieces of motioninformation. Namely, this is for avoiding such a situation that themotion information of the prediction block T2 becomes the same as themotion information of the prediction block T1. Since this processprovides only one piece of motion information for block merging of theprediction block T2, the cost for encoding of merging block selectioninformation can be reduced (an arrow in the drawing indicates that themotion information of neighboring block D is applicable to generation ofthe predicted signal of the prediction block T2).

Furthermore, based on the pieces of information of 4) and 5) above, themotion information of the prediction block T1 is compared with themotion information of the neighboring block D and if these pieces ofmotion information of the prediction block T1 and neighboring block Dare identical with each other, the motion information of the neighboringblock D is also excluded from candidates for motion information forblock merging as shown in (B) of FIG. 3. The reason for it is that ifthe predicted signal of the prediction block T2 is generated using themotion information of the neighboring block D, pieces of motioninformation of the prediction blocks T1 and T2 become identical witheach other. Owing to this process, the motion information for blockmerging of the prediction block T2 becomes null, which can reduce thecost for encoding of merging identification information and mergingblock selection information.

FIG. 4 is a flowchart of the prediction information encoder 116 tosubstantialize the process of FIG. 3.

First, the prediction information encoder 116 encodes the predictionblock partitioning type of the target encoding block and stores theprediction block partitioning type into the prediction informationmemory 115. At the same time, the prediction information encoder 116sets the number N of prediction blocks in the target encoding block,based on the encoded prediction block partitioning type, and resets atarget prediction block number i to 0 (step S151). Next, the predictioninformation encoder 116 determines whether a target prediction block isa prediction block to be encoded last in the target encoding block andwhether the number of prediction blocks in the target encoding block isnot less than 2 (step S152). For example, in the case of N=2, thedecision is yes with i=1, and the processing proceeds to step S157. Inthe case of N=4 ((D) of FIG. 20), the decision becomes yes with i=3.When the decision is no, the processing proceeds to step S153. In thecase of FIG. 3, the processing proceeds to step S153 when the targetprediction block is the prediction block T1; the processing proceeds tostep S157 when the target prediction block is the prediction block T2.

In step S153, the merging identification information is encoded. Themerging identification information becomes yes (merge_flag=1, generationof the predicted signal of the target prediction block using a candidatefor motion information) if the motion information of the targetprediction block coincides with a candidate for motion information forblock merging; otherwise, the merging identification information becomesno (merge_flag=0, generation of the predicted signal of the targetprediction block using the encoded motion information). Next, when themotion information of the target prediction block coincides with acandidate for motion information for block merging, the processingproceeds to step S164. In step S164, the prediction information encoder116 determines whether there are two candidates for motion information,and if the number of candidates for motion information is 2, it encodesthe merging block selection information and the processing proceeds tostep S155. When the number of candidates for motion information is 1,the processing proceeds to step S165. On the other hand, if the motioninformation of the target prediction block does not coincide with anycandidate for motion information for block merging, the processingproceeds to step S156 and the prediction information encoder 116 encodesthe motion information detected by the motion information estimator 114,and then proceeds to step S165.

In step S157, the prediction information encoder 116 determines whetherevery piece of already-encoded motion information of the target encodingblock coincides with the motion information of a neighboring block thatdoes not belong to the target encoding block. The description of thisstep S157 means that, in the case of N=2, the motion information of theprediction block T1 shown in FIG. 3 is compared with the motioninformation of the neighboring block D. Furthermore, the description ofstep S157 means that, in the case of N=4 ((D) of FIG. 20), the targetprediction block is the lower right partitioned block and the pieces ofmotion information of the other three prediction blocks (upper left,upper right, and lower left) are compared with each other. When thedetermination is yes (or when pieces of motion information in comparisonare coincident), the number of candidates for motion information to beused in block merging of the target prediction block is 0, as shown inthe example of (B) of FIG. 3, and thus the prediction informationencoder 116 encodes the motion information detected by the motioninformation estimator 114, without transmitting the block merginginformation, and then the processing proceeds to step S165 (step S160).On the other hand, when the determination is no (or when pieces ofmotion information in comparison are not coincident), the processingproceeds to step S163. In the case of N=4, pieces of motion informationof the upper right and lower left blocks in the target encoding blockare those of neighboring blocks to the target prediction block. For thisreason, application of block merging to the target prediction block(lower right) with coincidence of the motion information of the threeprediction blocks (upper left, upper right, and lower left) means thatthe predicted signals of the four prediction blocks in the targetencoding block are all generated using the same motion information. Forthis reason, in the case where N=4 and where the pieces of motioninformation of the three prediction blocks (upper left, upper right, andlower left) are identical with each other, the number of candidates formotion information of the target prediction block (lower right) is setto 0.

In step S163, the prediction information encoder 116 determines whetherthe prediction block partitioning type of the target encoding block is abisectional type, and if the determination is no, the processingproceeds to step S153 (the description hereinafter is omitted). When thedetermination in step S163 is yes, the processing proceeds to step S158,in which the prediction information encoder 116 encodes the mergingidentification information. In this case, since the number of candidatesfor motion information to be used in block merging of the targetprediction block is 1, as in the example of (A) of FIG. 3, there is noneed for encoding of the merging block selection information. Next, ifthe motion information of the target prediction block coincides with thecandidate for motion information for block merging, the processingproceeds to step S165. When the motion information of the targetprediction block does not coincide with the candidate for motioninformation for block merging, the processing proceeds to step S160, inwhich the prediction information encoder 116 encodes the motioninformation detected by the motion information estimator 114, and thenthe processing proceeds to step S165.

In step S165, the motion information of the target block is stored intothe prediction information memory 115. Subsequently, in step S161 theprediction information encoder 116 determines whether encoding iscompleted for all the prediction blocks in the target encoding block(whether i=N−1); when i=N−1, this prediction information encodingprocessing of the target encoding block is terminated; when i<N−1, thenumber i is updated in step S162 (i=i+1), and the processing returns tostep S152 to perform the motion information encoding processing of thenext prediction block.

Since the candidates for motion information to be used in block mergingof the prediction block can be selected in advance using the pieces ofinformation below, as described above, it becomes feasible toefficiently transmit the block merging information.

1) The number of already-encoded/already-decoded prediction blocks inthe target encoding block

2) The prediction block partitioning type of the target encoding block

4) The motion information of the already-encoded/already-decodedprediction blocks in the target encoding block

5) The motion information and prediction mode (intra-pictureprediction/inter-picture prediction) of the block neighboring the targetprediction block

FIG. 5 is a flowchart showing a procedure of an image predictiveencoding method in the image predictive encoding device 100 according tothe present embodiment. First, the block partitioner 102 partitions aninput picture into 16×16 encoding blocks (the picture may be partitionedinto blocks of other size or shape, or blocks of different sizes may bemixed in the frame). Then the prediction block partitioning typeselector 113 and the motion information estimator 114 determine theprediction block partitioning type of the target encoding block servingas an encoding target and the motion information of each of predictionblocks thereof (step S101). Next, the prediction information encoder 116encodes the prediction information (step S102, FIG. 4).

Next, the predicted signal generator 103 generates the predicted signalof the target encoding block, based on the prediction block partitioningtype of the target encoding block and the motion information of each ofthe prediction blocks, and a residual signal indicative of a differencebetween a pixel signal of the target encoding block and the predictedsignal is transformed and encoded by the transformer 106, quantizer 107,and quantized transform coefficient encoder 111 (step S103). The encodeddata of the prediction information and the quantized transformcoefficients is then output through the output terminal 112 (step S104).

For predictive encoding of the subsequent target encoding block, theencoded residual signal is decoded by the inverse quantizer 108 and theinverse transformer 109 after these processes or in parallel with theseprocesses. Then the adder 110 adds the decoded residual signal to thepredicted signal to reconstruct a signal of the target encoding block.The reconstructed signal is stored as a reference picture into the framememory 104 (step S105). If the processing is not completed for all thetarget encoding blocks, the processing returns to step S101 to carry outthe processing for the next target encoding block. When the processingis completed for all the target encoding blocks, the processing isterminated (step S106).

Next, image predictive decoding according to an embodiment will bedescribed. FIG. 6 is a block diagram showing an image predictivedecoding device 200 according to an embodiment. This image predictivedecoding device 200 is provided with input terminal 201, data analyzer202, inverse quantizer 203, inverse transformer 204, adder 205, outputterminal 206, quantized transform coefficient decoder 207, predictioninformation decoder 208, frame memory 104, predicted signal generator103, and prediction information memory 115. The image predictivedecoding device 200 may be a computing device or computer, including forexample software, hardware, or a combination of hardware and software,as described later, capable of performing the described functionality.The image predictive decoding device 200 may be one or more separatesystems or devices included in the image prediction encoding/decodingsystem, or may be combined with other systems or devices within theimage prediction encoding/decoding system. In other examples, fewer oradditional blocks may be used to illustrate the functionality of theimage predictive decoding device 1000.

The inverse quantizer 203, inverse transformer 204, and quantizedtransform coefficient decoder 207 function as residual signal decodingmeans. The decoding means by the inverse quantizer 203 and the inversetransformer 204 may be implemented using any means other than these.Furthermore, the inverse transformer 204 may be excluded. The predictioninformation memory 115 and the prediction information decoder 208function as prediction information decoding means.

The input terminal 201 accepts input of compressed data resulting fromthe compression encoding by the aforementioned image predictive encodingmethod. This compressed data contains the information of quantizedtransform coefficients resulting from transformation, quantization, andentropy encoding of the residual signal, for each of a plurality ofpartitioned encoding blocks, and encoded data of the predictioninformation for generation of the predicted signal of the blocks. Theprediction information herein contains the block merging information forexecution of block merging using the motion information as candidatesfor block merging, in addition to the prediction block partitioning typeof the target encoded block and the motion information of predictionblocks. Furthermore, the motion information contains the motion vector,the inter-picture prediction mode (forward/backward/bidirectionalprediction), the reference frame number, and so on.

The data analyzer 202 analyzes the compressed data input through theinput terminal 201, separates the data about the target encoded blockserving as a decoding target into encoded data of quantized transformcoefficients and encoded data of prediction information, and outputsthem via line L202 a and via line L202 b to the quantized transformcoefficient decoder 207 and to the prediction information decoder 208,respectively.

The prediction information decoder 208 selects a candidate for motioninformation to be used in block merging of each prediction block andentropy-decodes the encoded data of the prediction informationassociated with the target encoded block. The decoded predictioninformation is output via line L208 a and via line L208 b to thepredicted signal generator 103 and to the prediction information memory115, respectively. The prediction information memory 115 stores theinput prediction information. The processing of the predictioninformation decoder 208 will be described later.

The predicted signal generator 103 acquires previously-reconstructedsignals from the frame memory 104, based on the prediction informationof the target encoded block fed via line L208 a, and generates apredicted signal of each prediction block in the target encoded block.The predicted signal thus generated is output via line L103 to the adder205.

The quantized transform coefficient decoder 207 entropy-decodes theencoded data of quantized transform coefficients of the residual signalin the target encoded block and outputs the result via line L207 to theinverse quantizer 203.

The inverse quantizer 203 performs inverse quantization of the residualsignal information of the target encoded block fed via line L207. Theinverse transformer 204 performs an inverse discrete cosine transform ofthe inversely quantized data.

The adder 205 adds the predicted signal generated by the predictedsignal generator 103, to the residual signal restored by the inversequantizer 203 and the inverse transformer 204, and outputs areconstructed pixel signal of the target encoded block via line L205 tothe output terminal 206 and the frame memory 104. The output terminal206 outputs the signal to the outside of the decoding device 200 (e.g.,to a display).

The frame memory 104 stores the reconstructed image output from theadder 205, as a reference picture which is stored as a reconstructedimage for reference for the next decoding processing.

FIG. 7 is a flowchart of the prediction information decoder 208 toimplement the processing of FIG. 3.

First, the prediction information decoder 208 decodes the predictionblock partitioning type of the target encoded block and stores it in theprediction information memory 115. At the same time, the predictioninformation decoder 208 sets the number N of prediction blocks in thetarget encoded block, based on the decoded prediction block partitioningtype, and resets the target prediction block number i to 0 (step S251).Next, the prediction information decoder 208 determines whether a targetprediction block is a prediction block to be decoded last in the targetencoded block and whether the number of prediction blocks in the targetencoded block is not less than 2 (step S252). For example, in the caseof N=2, the determination is yes with i=1 and the processing proceeds tostep S258. In the case of N=4 ((D) of FIG. 20), the determination is yeswith i=3. When the determination is no, the processing proceeds to stepS253. In FIG. 3, the processing proceeds to step S253 when the targetprediction block is the prediction block T1; the processing proceeds tostep S258 when the target prediction block is the prediction block T2.

In step S253, the merging identification information is decoded. Whenthe merging identification information is yes (merge_flag=1) herein, themerging identification information indicates that the predicted signalof the target prediction block is to be generated using a candidate formotion information. On the other hand, when the merging identificationinformation is no (merge_flag=0), the predicted signal of the targetprediction block is generated using the decoded motion information. Innext step S254, the prediction information decoder 208 determineswhether the merging identification information indicates decoding ofmotion information, i.e., whether the value of merge_flag is 0. When thedecoded value of merge_flag is 0, the prediction information decoder 208decodes the motion information for generation of the predicted signal ofthe target prediction block (step S257) and then the processing proceedsto step S267. When the value of merge_flag is 1, the predictioninformation decoder 208 determines in step S266 whether the number ofcandidates for motion information to be used in block merging is 2, andwhen the number of candidates is 2, the merging block selectioninformation is decoded and the processing proceeds to step S256 (stepS255). When the number of candidates for motion information to be usedin block merging of the target prediction block is 1, the processingproceeds to step S256. In step S256, when the number of candidates formotion information is 1, the prediction information decoder 208determines the motion information thereof as the motion information ofthe target prediction block. When the number of candidates for motioninformation is 2, the prediction information decoder 208 determines themotion information of the neighboring block indicated by the mergingblock selection information, as the motion information of the targetprediction block.

In step S258, the prediction information decoder 208 determines whetherevery piece of already-decoded motion information of the target encodedblock coincides with the motion information of a neighboring block thatdoes not belong to the target encoded block. The description of thisstep S258 means that, in the case of N=2, the motion information of theprediction block T1 shown in FIG. 3 is compared with the motioninformation of the neighboring block D. Furthermore, the description ofthis step S258 means that, in the case of N=4 ((D) of FIG. 20), thetarget prediction block is the lower right partitioned block and thepieces of motion information of the three other prediction blocks (upperleft, upper right, and lower left) are compared with each other. Whenthe determination is yes (or when the pieces of motion information incomparison are coincident), the number of candidates for motioninformation to be used in block merging of the target prediction blockis 0, as shown in the example of (B) in FIG. 3, the predictioninformation decoder 208 decodes the motion information to be used forgeneration of the predicted signal of the target prediction block,without decoding the block merging information, and the processingproceeds to step S267 (step S262). On the other hand, when thedetermination is no (or when the pieces of motion information incomparison are not coincident), the processing proceeds to step S265. Inthe case of N=4, the pieces of motion information of the upper right andthe lower left blocks in the target encoded block are those ofneighboring blocks to the target prediction block. For this reason,application of block merging to the target prediction block (lowerright) when coincidence of the pieces of motion information of the threeprediction blocks (upper left, upper right, and lower left) means thatthe predicted signals of the four prediction blocks in the targetencoded block are generated all from the same motion information. Forthis reason, in the case where N=4 and where the pieces of motioninformation of the three prediction blocks (upper left, upper right, andlower left) are identical with each other, the number of candidates formotion information of the target prediction block (lower right) is setto 0.

In step S265, the prediction information decoder 208 determines whetherthe prediction block partitioning type of the target encoded block is abisectional type, and if the determination is no, the processingproceeds to step S253 (the description hereinafter is omitted). When thedetermination in step S265 is yes, the processing proceeds to step S259,in which the prediction information decoder 208 decodes the mergingidentification information. In this case, as in the example of (A) ofFIG. 3, the number of candidates for motion information to be used inblock merging of the target prediction block is 1, and therefore thereis no need for decoding of the merging block selection information.

In next step S260, the prediction information decoder 208 determineswhether the merging identification information indicates decoding ofmotion information, i.e., whether the value of merge_flag is 0. When thedecoded value of merge_flag is 0, the prediction information decoder 208decodes the motion information for generation of the predicted signal ofthe target prediction block (step S262) and the processing proceeds tostep S267. When the value of merge_flag is 1, the processing proceeds tostep S261. In step S261, since the number of candidates for motioninformation is 1, as shown in (A) of FIG. 3, the prediction informationdecoder 208 determines the motion information of the neighboring block Das the motion information of the target prediction block and theprocessing proceeds to step S267.

In step S267, the motion information of the restored prediction block isstored into the prediction information memory 115. Subsequently, in stepS263, the prediction information decoder 208 determines whether thedecoding is complete for all the prediction blocks in the target encodedblock (whether i=N−1); when i=N−1, this prediction information decodingprocessing of the target encoded block is terminated; when i<N−1, thenumber i is updated in step S264 (i=i+1) and the processing returns tostep S252 to perform the motion information decoding processing of thenext prediction block.

Next, an image predictive decoding method in the image predictivedecoding device 200 shown in FIG. 6 will be described using FIG. 8.First, compressed data is input through the input terminal 201 (stepS201). Then the data analyzer 202 performs data analysis of thecompressed data to extract the encoded data of the predictioninformation and the quantized transform coefficients about a targetregion of a decoding target (S202). The prediction information isdecoded by the prediction information decoder 208 (S203).

Thereafter, based on the restored prediction information, the predictedsignal generator 103 generates the predicted signal of the targetencoded block (S204).

The quantized transform coefficients decoded by the quantized transformcoefficient decoder 207 are subjected to the inverse quantization in theinverse quantizer 203 and to the inverse transformation in the inversetransformer 204, to generate a reconstructed residual signal (S205).Then the generated predicted signal is added to the reconstructedresidual signal to generate a reconstructed signal, and thisreconstructed signal is stored into the frame memory 104, forreconstruction of the next target of encoded block (step S206). If thereis next compressed data, the processes of S204 to S206 are repeatedlycarried out (S207) to process the entire data to the last.

The above described the examples in which the number of neighboringblocks to the prediction block is not more than 2, and the below willfocus attention on situations in which the number of neighboring blocksin contact with upper and left block boundaries to a prediction block isnot less than 3.

The example of FIG. 3 concerned the case where there were twoneighboring blocks in contact with a prediction block, but there aresituations in which a prediction block is in contact with two or moreneighboring blocks, depending upon combinations of the prediction blockpartitioning types of an encoded block and neighboring blocks thereto.FIG. 9 shows an example where three neighboring blocks are in contactwith a prediction block. The block 301 in FIG. 20 will be described asan example herein, but the same description also applies to the blocks302, 304, 305, 306, and 307.

In (A) and (B) of FIG. 9, a target encoded block 400 has two predictionblocks resulting from vertical bisection of the block 400, whereas ablock 401 in contact with the left side of the prediction block T1 ishorizontally bisected (or partitioned into two upper and lower blocks).For this reason, the prediction block T1 is in contact with threeneighboring blocks A, B, and C. In this case, when it is preliminarilydetermined on the encoding side and on the decoding side thatneighboring blocks are represented by two neighboring blocks A and B incontact with the upper left corner of the target prediction block, thenumber of neighboring blocks is always limited to 2 and therefore thetechnique described above is applicable.

On the other hand, it is also possible to employ a technique ofvirtually horizontally bisecting the prediction block T1 according tothe prediction block partitioning type of the neighboring block 401, asshown in (B) of FIG. 9. In this case, the target prediction block T1 ispartitioned into blocks T1 a and T1 b and the predicted signal of blockT1 a and the predicted signal of T1 b are generated using two pieces ofmotion information belonging to the neighboring blocks A and C,respectively.

On this occasion, the merging block selection information can beefficiently encoded without change in the configuration of the blockmerging information, by such a rule that selected candidates for mergingblock selection information are two pieces of the motion information ofthe neighboring block B in (A) of FIG. 9 and the combination of piecesof motion information of the neighboring blocks A and C in (B) of FIG.9.

On the other hand, in the case where either of (A) of FIG. 9 and (B) ofFIG. 9 is identified by the merging block selection information andwhere (B) of FIG. 9 is selected, it is also possible to adopt a methodof further transmitting second merging identification information foreach virtual block and identifying generation of the predicted signal ofthe virtual block based on the motion information of the neighboringblock, or encoding/decoding of the motion information.

It is also possible to adopt a method without partition of theprediction block T1 in which selected candidates for the merging blockselection information in the prediction block T1 are three pieces ofmotion information of neighboring blocks A, B, and C and in which themotion information to be used in generation of the predicted signal ofT1 is selected from the three pieces of information, but changes beloware needed in this case.

1. A flow of “acquiring the prediction block partitioning type of theneighboring block and deriving the number of blocks neighboring theprediction block” is added prior to step S164 in FIG. 4 and step S266 inFIG. 7.

2. Step S164 in FIG. 4 and step S266 in FIG. 7 are changed to “Are theretwo or more pieces of motion information of selected candidates?”

3. The merging block selection information is extended to information toselect one out of three or more candidates.

This processing of block merging shown in (A) and (B) of FIG. 9 can beimplemented by extending step S256 in FIG. 7 to the processing shown inFIG. 11. First in step S256 a, the prediction block partitioning type ofan encoded block in contact with the target prediction block isacquired. In next step S256 b, the number M of prediction blocksneighboring block boundaries indicated by the decoded merging blockselection information is derived from the acquired prediction blockpartitioning type. For example, in the case of (B) of FIG. 9, M=2.Furthermore, in step S256 c, it is determined whether the value of M islarger than 1 (M>1). In the case of M>1, at step S256 d, the targetprediction block is partitioned into M virtual blocks, and pieces ofmotion information of M neighboring blocks are set to the M partitionedvirtual blocks (it can also be contemplated that merging identificationinformation is additionally sent for each virtual block and it isdetermined whether the motion information is to be decoded). In the caseof M=1, at step S256 e, the motion information of a neighboring blockserving as a candidate for block merging is set to the motioninformation of the target prediction block.

According to FIGS. 7 and 11 as described above, the selection ofcandidate for motion information in the example of FIG. 9 is carried outbased on the pieces of information below.

1) The number of already-encoded/already-decoded prediction blocks inthe target encoded block

2) The prediction block partitioning type of the target encoded block

3) The prediction block partitioning type of the block neighboring thetarget prediction block

In this manner, the information of 3), which is not used in theselection of candidate for motion information in the example of FIG. 3,is used in the cases where there are three or more candidates for motioninformation.

(C) of FIG. 9 shows an example in which the block neighboring the leftside of the prediction block 400 is asymmetrically bisected. In thiscase, it is also possible to adopt the technique of virtuallyhorizontally bisecting the prediction block T1 according to theprediction block partitioning type of the neighboring block 401 (intoblocks T1 a and T1 b). Namely, the predicted signal of the targetprediction block T1 can be generated using a combination of pieces ofmotion information of neighboring blocks A and C in (C) of FIG. 9 ascandidates for motion information for block merging of the predictionblock T1.

In cases where the prediction block partitioning type of the encodingblock is a type in which the number of prediction block is 1 like theblock 300 in FIG. 20, as shown in (D) to (F) of FIG. 9, it is alsopossible to apply the technique of virtually horizontally partitioningthe prediction block T1 (block 400) according to the prediction blockpartitioning type of neighboring block 401 (partition into a pluralityof blocks arranged in the vertical direction), and generating thepredicted signal for each block. Furthermore, in cases where theneighboring block 402 is vertically partitioned (into a plurality ofblocks arranged in the horizontal direction), which are not shown, it ispossible to apply a technique of virtually vertically partitioning theprediction block T1 (block 400) according to the prediction blockpartitioning type of the neighboring block 402 and generating thepredicted signal for each block.

In cases where a block neighboring the prediction block includes anintra-picture predicted block (intra), it is also possible to apply thetechnique of virtually partitioning the prediction block and generatingthe predicted signal, by preliminarily determining rules. (A) to (F) ofFIG. 10 show examples in which an intra-picture predicted block (intra)is included in a plurality of neighboring blocks A, C, E, and G incontact with the left side of the prediction block. Based on theprediction block partitioning type of the neighboring block and theprediction mode (inter-picture/intra-picture prediction) in theprediction information, the intra-picture predicted block in theneighboring block is virtually integrated with an inter-picturepredicted block with motion information (thick lines in the drawing). Inthese examples, an intra-picture predicted block is virtually integratedwith an inter-picture predicted block which is closer to the upper leftcorner of the neighboring block and which is closest to theintra-picture block. As a consequence, the prediction block T1 isvirtually partitioned according to the number of inter-picture predictedblocks in the neighboring block, as shown in (A) to (F) of FIG. 10. Inthis manner, even in the cases where the neighboring block includes anintra-picture predicted block (intra), the generation of the predictedsignal by block merging can be carried out using the motion informationof the inter-picture predicted block in the neighboring block.

There are no restrictions on the rules of integrating the intra-picturepredicted block with the inter-picture predicted block in theneighboring block. It can be contemplated that a plurality of rules asdescribed above are prepared and a rule is selected for each frame orfor each slice to implement encoding.

In this case, the selection of a candidate for motion information iscarried out based on pieces of information below.

1) The number of already-encoded/already-decoded prediction blocks inthe target encoding/encoded block

2) The prediction block partitioning type of the target encoding/encodedblock

3) The prediction block partitioning type of the block neighboring thetarget prediction block

5) The prediction mode (intra-picture prediction/inter-pictureprediction) of the block neighboring the target prediction block

FIG. 12 shows examples in which the encoding block 400 and neighboringblock 402 are similarly vertically bisected but their partitioned shapesare different. In these examples, the prediction block T1 (blockincluding blocks T1 a and T1 b) in (A) of FIG. 12 and the predictionblock T2 (block including blocks T2 a and T2 b) in (B) of FIG. 12 alsohave three neighboring blocks. For T1 in (A) of FIG. 12, the processingflow of FIG. 11 is applied to step S256 in FIG. 7, whereby it becomesfeasible to execute the block merging by setting pieces of motioninformation of blocks Ba and Bb to respective blocks T1 a and T1 bresulting from virtual vertical bisection of the prediction block T1.For T2 in (B) of FIG. 12, a processing flow of FIG. 13 described belowis applied to step S261 in FIG. 7, whereby it becomes feasible toexecute the block merging by setting pieces of motion information ofblocks Ba and Bb to respective blocks T2 a and T2 b resulting fromvirtual vertical bisection of the prediction block T2. On this occasion,it is also possible to adopt the method of transmitting second mergingidentification information for each virtual block and identifying eithergeneration of the predicted signal of the virtual block based on themotion information of the neighboring block or encoding/decoding ofmotion information.

It is also possible to adopt a method in which the prediction block T2is not partitioned, two pieces of motion information of block Ba andblock Bb are defined as candidates for motion information to be used inblock merging of the prediction block T2, and one of the pieces ofmotion information of block Ba and block Bb is selected as motioninformation to be used in generation of the predicted signal of T2, butin that case, it is necessary to extend the flow of FIG. 7 as describedbelow.

1. A flow of “acquiring the prediction block partitioning type of theneighboring block and deriving the number of blocks neighboring theprediction block” is added after step S158 in FIG. 4 and after step S259in FIG. 7.

2. Step S159 in FIG. 4 and step S260 in FIG. 7 are changed to “Are theretwo or more pieces of motion information of selected candidates?”

3. A step of performing encoding/decoding of block selection informationis added after step S159 in FIG. 4 and after step S260 in FIG. 7.

The flow of FIG. 13 will be described below. In FIG. 13, first in stepS261 a, the prediction block partitioning type of the encoded block incontact with the target prediction block is acquired. In next step S261b, the number M of prediction blocks neighboring block boundaries incontact with the neighboring block not belonging to the target encodedblock is derived from the acquired prediction block partitioning type.For example, in the case shown in (B) of FIG. 12, M=2. Furthermore, itis determined in step S261 c whether the value of M is larger than 1(M>1). In the case of M>1, the target prediction block is partitionedinto M virtual blocks and pieces of motion information of M neighboringblocks are set to the M partitioned virtual blocks (it is also possibleto additionally send the merging identification information for eachvirtual block and determine whether the motion information is to bedecoded). In the case of M=1, the motion information of the neighboringblock as a candidate for block merging is set as the motion informationof the target prediction block.

According to FIGS. 12 and 13 as described above, the selection of acandidate for motion information in the example of FIG. 11 is carriedout based on the pieces of information below.

1) The number of already-encoded/already-decoded prediction blocks inthe target encoding/encoded block

2) The prediction block partitioning type of the target encoding/encodedblock

3) The prediction block partitioning type of the block neighboring thetarget prediction block

It should be noted that although FIG. 11 described the example ofvertical partitioning, the same processing is also applicable toexamples of horizontal partitioning (division into a plurality of blocksarranged in the vertical direction) like blocks 306 and 307 in FIG. 20.

It is possible to adopt further modifications described below.

(Candidates for Motion Information)

In the above description the pieces of motion information of blocks incontact with the upper side and the left side of the prediction blockwere defined as candidates for block merging, but it is also possible toset a limitation based on the prediction block partitioning types of thetarget encoding/encoded block and neighboring blocks, as shown in (A)and (B) of FIG. 14 and (A) of FIG. 15. (A) and (B) of FIG. 14 showexamples where there are two neighboring blocks and where the motioninformation of neighboring blocks on the side in contact with two ormore neighboring blocks out of the upper side and the left side of theprediction block is excluded from candidates for block merging. In thiscase, there is no need for encoding of the merging block selectioninformation, which can reduce additional information. The candidates formotion information to be used in block merging of the prediction blockT1 in (A) of FIG. 14 and the prediction block T1 in (B) of FIG. 14 aredetermined to be pieces of motion information of block B and block A,respectively.

(A) of FIG. 15 shows a technique of automatically selecting candidatesfor motion information to be used in block merging of prediction blocksT1 and T2, based on the prediction block partitioning type of the targetencoding/encoded block.

(B) of FIG. 15 shows an example in which the prediction block to whichthe block merging is applied is limited according to the predictionblock partitioning type of the target encoding block and the number ofalready-encoded/already-decoded blocks in the target encoding block. Inthe example shown in FIG. 3, when the motion information of block T1 iscoincident with that of the block D, the motion information of block Dis excluded from candidates for motion information to be used blockmerging of block T2; whereas, in the case shown in (A) of FIG. 15,without comparison between the motion information of block T1 and themotion information of block D, the block D is excluded from candidatesfor block merging, based on the number of already-encoded/decodedprediction blocks in the target encoding/encoded block. In this manner,the prediction block to which block merging is applied may be limited bythe number of motion vectors to be encoded in the target encoding block.

Furthermore, it is also possible to place a limitation, according toblock sizes of two neighboring blocks in contact with the upper leftcorner of the prediction block and the block size of the predictionblock. For example, when the size of the right side of the neighboringblock in contact with the left side of the target prediction block issmaller than a preset size (e.g., a half or a quarter of the length ofthe left side of the prediction block), the motion information of theneighboring block may be excluded from candidates for block merging ofthe target prediction block.

When the limitation is set on candidates for motion information asdescribed above, the code amount of block merging information can bereduced.

(Selection of Candidate for Motion Information)

The selection of candidate for motion information is carried out basedon the pieces of information below, but a method of using theinformation is not limited to the methods described above. The means toselect the candidates for motion information using these pieces ofinformation can be implemented by the configurations of FIG. 1 and FIG.6.

1) The number of already-encoded/already-decoded prediction blocks inthe target encoding/encoded block

2) The prediction block partitioning type of the target encoding/encodedblock

3) The prediction block partitioning type of the block neighboring thetarget prediction block

4) The motion information of already-encoded/already-decoded predictionblocks in the target encoding/encoded block

5) The motion information and prediction mode (intra-pictureprediction/inter-picture prediction) of the block neighboring the targetprediction block

(Encoding of Prediction Block)

In the above-described description the encoding/decoding of theprediction blocks in the encoding block is carried out in a raster scanorder, but the above-described selection of candidate for motioninformation to be used in the block merging is also applicable to caseswhere the prediction blocks are encoded/decoded in any order. Forexample, in the example of FIG. 3, where the prediction block T2 of thetarget encoding/encoded block 400 is first encoded/decoded, the motionvector of the prediction block T2 is not included as a candidate formotion information to be used in block merging of the prediction blockT1.

(Shape of Block)

In the above-described description the partial regions in the encodingblock were always rectangular, but they may be any shape. In this case,shape information may be included in the prediction information of theencoding block.

(Transformer and Inverse Transformer)

The transformation process of the residual signal may be carried out ina fixed block size, or the transformation process may be carried outafter a target region is sub-partitioned according to partial regions.

(Prediction Information)

In the above-described description the generation method of thepredicted signal was described as inter-picture prediction (predictionusing the motion vector and reference frame information), but thegeneration method of the predicted signal is not limited to this. Theaforementioned predicted signal generation process is also applicable tothe intra-picture prediction and the prediction method includingluminance compensation or the like. In this case, the predictioninformation contains mode information, luminance compensationparameters, and so on.

In FIG. 10 the intra-picture predicted block in the neighboring block isvirtually integrated with the inter-picture predicted block, but it isalso possible to adopt a method in which the prediction block isvirtually partitioned, regardless of the prediction mode of theneighboring block, and partial signals in the prediction block arepredicted by intra-picture prediction.

(Color Signal)

The foregoing description contains no particular description of colorformat, but the predicted signal generation process may also be carriedout for color signal or color-difference signal, independently ofluminance signal. The predicted signal generation process may also becarried out in synchronism with the process of luminance signal.

(Block Noise Removal Process)

Although the foregoing description states nothing, the reconstructedpicture may be subjected to a block noise removal process and in thatcase, it is preferable to perform the noise removal process for boundaryportions of partial regions. In the cases where the prediction block isvirtually partitioned in the examples shown in FIGS. 9, 10, and 12, theblock noise removal process may also be applied to a boundary betweenvirtually partitioned blocks.

The image predictive encoding method and/or the image predictivedecoding method according to the embodiments of the image predictionencoding/decoding system can also be provided as stored in the form ofprograms in a recording medium. Examples of recording media includerecording media such as floppy disks (registered trademark), CD-ROMs,DVDs, or ROMs, or semiconductor memories, or the like.

FIG. 16 is a block diagram showing modules of a program which canexecute the image predictive encoding method. The image predictiveencoding program P100 is provided with block partitioning module P101,motion information estimation module P102, predicted signal generationmodule P103, storage module P104, subtraction module P105, transformmodule P106, quantization module P107, inverse quantization module P108,inverse transform module P109, addition module P110, quantized transformcoefficient encoding module P111, prediction partitioning type selectionmodule P112, prediction information storage module P113, and predictioninformation encoding module P114. The functions implemented uponexecution of the respective modules by a computer are the same as thefunctions of the aforementioned image predictive encoding device 100.Namely, the block partitioning module P101, motion informationestimation module P102, predicted signal generation module P103, storagemodule P104, subtraction module P105, transform module P106,quantization module P107, inverse quantization module P108, inversetransform module P109, addition module P110, quantized transformcoefficient encoding module P111, prediction partitioning type selectionmodule P112, prediction information storage module P113, and predictioninformation encoding module P114 cause the computer to execute the samefunctions as the block partitioner 102, motion information estimator114, predicted signal generator 103, frame memory 104, subtracter 105,transformer 106, quantizer 107, inverse quantizer 108, inversetransformer 109, adder 110, quantized transform coefficient encoder 111,prediction block partitioning type selector 113, prediction informationmemory 115, and prediction information encoder 116, respectively.

FIG. 17 is a block diagram showing modules of a program which canexecute the image predictive decoding method. The image predictivedecoding program P200 is provided with quantized transform coefficientdecoding module P201, prediction information decoding module P202,prediction information storage module P113, inverse quantization moduleP206, inverse transform module P207, addition module P208, predictedsignal generation module P103, and storage module P104.

The functions implemented upon execution of the respective modules arethe same as those of the respective components of the aforementionedimage predictive decoding device 200. Namely, the quantized transformcoefficient decoding module P201, prediction information decoding moduleP202, prediction information storage module P113, inverse quantizationmodule P206, inverse transform module P207, addition module P208,predicted signal generation module P103, and storage module P104 causethe computer to execute the same functions as the quantized transformcoefficient decoder 207, prediction information decoder 208, predictioninformation memory 115, inverse quantizer 203, inverse transformer 204,adder 205, predicted signal generator 103, and frame memory 104,respectively.

The image predictive encoding program P100 or the image predictivedecoding program P200 configured as described above can be stored in arecording medium SM and executed by the computer described below.Alternatively or in addition, at least a portion of the previouslydescribed image predictive encoding program P100 or the image predictivedecoding program P200 may be stored in a working memory, and/or amemory, which are also non-transitory computer readable storage mediums.

FIG. 18 is a drawing showing an example hardware configuration of acomputer for executing the programs recorded in the recording mediumand/or a computer readable storage medium. FIG. 19 is a perspective viewof an example computer for executing the programs stored in therecording medium. Equipment to execute the programs stored in therecording medium is not limited to computers, but may be any device, orcombination of devices, such as a DVD player, a set-top box, a cellphone, or the like provided with a CPU and configured to performprocessing and control based on software.

As shown in FIG. 19, the computer C10 is provided with a reading deviceC12 such as a floppy disk drive unit, a CD-ROM drive unit, or a DVDdrive unit, a communication port such as a universal serial bus port(USB), Bluetooth port, an infrared communication port, or any other typeof communication port that allows communication with an external device,such as another computer or memory device. The computer 30 may alsoinclude a working memory C14, such as a random access memory (RAM), inwhich an operating system is resident, a memory C16 to store programs,such as at least part of programs stored in the recording medium SM. Theworking memory C14 and memory C16 may be one or more computer readablestorage medium, and can include a solid-state memory such as a memorycard or other package that houses one or more non-volatile read-onlymemories. Further, the computer readable storage medium can be a randomaccess memory or other volatile re-writable memory. Additionally oralternatively, the computer-readable storage medium can include amagneto-optical or optical medium, such as a disk or tapes or any otherstorage device to capture carrier wave signals such as a signalcommunicated over a transmission medium. A digital file attachment to ane-mail, stored in a storage device, or other self-contained informationarchive or set of archives may be considered a distribution medium thatis a tangible storage medium. Accordingly, the embodiments areconsidered to include any one or more of a computer-readable storagemedium or a distribution medium and other equivalents and successormedia, in which data or instructions may be stored. In addition, thecomputer C10 may have a user interface that includes a monitor deviceC18 such as a display, a mouse C20 and a keyboard C22 as input devices,or any other mechanism or device that allows a user to interface withthe computer C10. In addition, the computer C10 may include acommunication device C24 for transmission and reception of data andothers, and a central processing unit (CPU) C26 to control execution ofprograms. The processor C26 may be one or more one or more generalprocessors, digital signal processors, application specific integratedcircuits, field programmable gate arrays, digital circuits, analogcircuits, combinations thereof, and/or other now known or laterdeveloped devices for analyzing and processing data. In one example,when the recording medium SM is put into the reading device C12, thecomputer C10 becomes accessible to the image predictiveencoding/decoding program at least a portion of which can be stored inthe recording medium SM, through the reading device C12, and becomesable to operate as the image encoding device and/or the image decodingdevice according to the embodiment of the image predictionencoding/decoding system, based on the image encoding or decodingprogram. In other examples, the recording medium SM provides enablementor initialization of at least a part of the image encoding or decodingprogram stored in at least one of the working memory 14 and the memory16.

As shown in the example of FIG. 18, the image predictive encodingprogram and the image decoding program may be provided in the form ofcomputer data signal CW superimposed on a carrier wave, through anetwork. In this case, the computer C10 becomes able to execute theimage predictive encoding program or the image predictive decodingprogram after the image predictive encoding program or the imagedecoding program received by the communication device C24 is stored inthe memory C16.

Still another embodiment will be described below. FIG. 24 is a drawingschematically showing a configuration of a video encoding deviceaccording to an embodiment. The video encoding device 10 shown in FIG.24 is provided with block partitioner 501, sub-partition generator 502,frame memory 503, motion detector 504, predicted signal generator 505,motion predictor 506, subtracter 507, residual signal generator 508,transformer 509, quantizer 510, inverse quantizer 511, inversetransformer 512, adder 513, and entropy encoder 514. An input imagesignal (video signal) fed into this video encoding device 10 is composedof a time sequence of image signals of frame units (hereinafter referredto as frame image signals).

The block partitioner 501 sequentially selects frame image signals, orinput images serving as encoding targets from the input image signal fedvia line L501. The block partitioner 501 partitions an input image intoa plurality of partitions, or blocks. The block partitioner 501sequentially selects the plurality of blocks as encoding target blocksand outputs a pixel signal of each of the target blocks (hereinafterreferred to as a target block signal) via line L502.

In the video encoding device 10, encoding processing described below iscarried out in block units. The block partitioner 501 may partition, forexample, an input image into a plurality of blocks each having 8×8pixels. However, the blocks may be any size and shape. The blocks maybe, for example, blocks each having 32×16 pixels or blocks eachconsisting of 16×64 pixels.

The sub-partition generator 502 partitions a target block fed via lineL502, into a plurality of sub-partitions. FIG. 25 is a drawing forexplaining the generation of sub-partitions. As shown in FIG. 25, thesub-partition generator 502 partitions the target block P into twosub-partitions SP1 and SP2 by a straight line Ln expressed by the linearexpression of formula (1).y=mx+k  (1)

For example, the sub-partition generator 502 can be configured asfollows: with changes of the parameters m and k, it obtains a predictedsignal of the sub-partition SP1 and a predicted signal of thesub-partition SP2, and determines m and k that minimize an error betweenthe predicted signal of the sub-partition SP1 and an image signal of thesub-partition SP1 and an error between the predicted signal of thesub-partition SP2 and an image signal of the sub-partition SP2, asparameters of the straight line Ln.

The sub-partition generator 502 outputs the parameters m and k informula (1) thus determined, as shape information to specify the shapesof the sub-partitions in the target block P, i.e., as shape informationto specify the shapes of the first sub-partition SP1 and the secondsub-partition SP2, via line L504.

The linear expression expressing the straight line Ln may be any one.For example, the straight line Ln may be one expressed by formula (2).y=−x/tan θ+ρ/sin θ  (2)In this case, the shape information is θ and ρ.

The shape information may be information indicative of two arbitrarypoints that the straight line Ln passes, e.g., intersections between thestraight line and boundaries of the block P. The block does not alwayshave to be partitioned by a straight line, but the sub-partitions may begenerated based on a pattern selected from a plurality of patternsprepared in advance. In this case, information such as an index tospecify the selected pattern can be used as shape information.

In the description below, coordinates are set with an origin at theuppermost and leftmost position of the target block, a sub-partitionincluding the uppermost and leftmost pixel in the target block P isdefined as a first sub-partition, and the other as a secondsub-partition. It is, however, noted that any defining method isapplicable herein: for example, a sub-partition that does not includethe position of the center in the target block can be defined as a firstsub-partition, and the other as a second sub-partition. In this case,the shape information may be intersection information of blockboundaries or pattern identification information.

The frame memory 503 stores signals of previously-reconstructed imagesfed via line L505, i.e., frame image signals having been encoded in thepast (which will be referred to hereinafter as reference frame imagesignals). The frame memory 503 outputs the reference frame images signalvia line L506.

The motion detector 504 receives the target block signal fed throughline L502, the shape information of the block fed through line L504, andthe reference frame image signals fed through line L506. The motiondetector 504 searches image signals in a predetermined range of thereference frame image signals, for a signal similar to an image signalof a sub-partition serving as a processing target, and calculates amotion vector. This motion vector is a spatial displacement amountbetween a region in a reference frame image signal having a pixel signalsimilar to the image signal of the sub-partition serving as a processingtarget, and the target block. The motion detector 504 outputs the motionvector thus calculated, via line L507.

The motion detector 504 may be configured, at the same time, to alsodetect a motion vector for a target block and to determine whether apredicted signal is to be generated for each of two sub-partitionsresulting from partitioning of the target block. This determination maybe such determination that if an error between the predicted signal ofthe target block and the image signal of the target block is smallerthan errors between the predicted signals of two sub-partitionsgenerated by partition of the target block, and the image signals of thetwo sub-partitions, the target block is not partitioned into thesub-partitions. When this determination is made, information indicativeof the result of the determination is encoded as partition applicabilityinformation and the shape information may be encoded only if thepartition applicability information indicates that a target block is tobe partitioned into sub-partitions.

The predicted signal generator 505 generates the predicted signal of theimage signal of the sub-partition serving as a processing target, basedon the motion vector fed via line L507 and the block shape informationfed via line L504, from the image signal in the predetermined range ofthe reference frame image signal fed via line L506.

The predicted signal generator 505 combines the predicted signals of therespective sub-partitions in the target block to generate the predictedsignal of the target block. The predicted signal generator 505 outputsthe predicted signal thus generated, via line L508. The predicted signalmay be generated by intra-picture prediction, instead of theinter-picture prediction.

The motion predictor 506 generates a motion vector predictor of aprocessing target sub-partition in a target block, based on the blockshape information fed via line L504, the motion vector fed via lineL507, and a motion vector of a block prior in order to the processingtarget sub-partition or a motion vector of an already-processed partialregion that is a sub-partition. The motion predictor 506 outputs themotion vector predictor thus generated, via line L509.

The motion predictor 506 may select one motion vector predictor out of aplurality of candidates for motion vector predictor. In this case, themotion predictor 506 also outputs indication information to specify theselected motion vector predictor, via line L510. If the candidates formotion vector predictor of the processing target sub-partition arenarrowed down to one according to a predetermined rule shared with thedecoder side, the output of the indication information may be omitted.

The subtracter 507 subtracts the motion vector predictor fed via lineL509, from the motion vector of the processing target sub-partition fedvia line L507, to generate a differential motion vector. The subtracter507 outputs the differential motion vector thus generated, via lineL511.

The residual signal generator 508 subtracts the predicted signal of thetarget block fed via line L508, from the target block signal fed vialine L502, to generate a residual signal. The residual signal generator508 outputs the residual signal thus generated, via line L512.

The transformer 509 performs orthogonal transformation of the residualsignal fed via line L512, to generate transform coefficients. Thetransformer 509 outputs the transform coefficients thus generated, vialine L513. This orthogonal transformation may be performed, for example,by DCT. However, the transformation used by the transformer 509 may beany transformation.

The quantizer 510 quantizes the transform coefficients fed via lineL513, to generate quantized transform coefficients. The quantizer 510outputs the quantized transform coefficients thus generated, via lineL514.

The inverse quantizer 511 performs inverse quantization of the quantizedtransform coefficients fed via line L514, to generateinversely-quantized transform coefficients. The inverse quantizer 511outputs the inversely-quantized transform coefficients thus generated,via line L515.

The inverse transformer 512 performs inverse orthogonal transformationof the inversely-quantized transform coefficients fed via line L515, togenerate a reconstructed residual signal. The inverse transformer 512outputs the reconstructed residual signal thus generated, via line L516.The inverse transformation used by the inverse transformer 512 is aprocess symmetric with the transformation of the transformer 509.

The transformation is not always essential, and the video encodingdevice does not always have to be provided with the transformer 509 andthe inverse transformer 512. Likewise, the quantization is not alwaysessential, and the video encoding device does not always have to beprovided with the quantizer 510 and the inverse quantizer 511.

The adder 513 adds the reconstructed residual signal input via lineL516, to the predicted signal of the target block fed via line L508, togenerate a reconstructed image signal. The adder 513 outputs thereconstructed image signal as a previously-reconstructed image signalvia line L505.

The entropy encoder 514 encodes the quantized transform coefficients fedvia line L514, the shape information of the target block fed via lineL504, the indication information of the motion vector predictor fed vialine L510, and the differential motion vector fed via line L511. Theentropy encoder 514 multiplexes codes generated by encoding, to generatea compressed stream, and then outputs the compressed stream through lineL517.

The entropy encoder 514 may use any encoding method such as thearithmetic coding or the run-length coding. The entropy encoder 514 mayadaptively determine an occurrence probability in arithmetic coding ofthe indication information of the motion vector predictor fed via lineL510, based on the shape information of the target block fed via lineL504. For example, the entropy encoder 514 may set a high value as anoccurrence probability of the indication information to indicate amotion vector of a partial region in contact with a processing targetsub-partition.

FIG. 26 is a drawing showing a configuration of the motion predictoraccording to an embodiment. As shown in FIG. 26, the motion predictor506 has a motion vector memory 5061, a motion reference candidategenerator 5062, and a motion vector predictor generator 5063.

The motion vector memory 5061 stores motion vectors ofpreviously-processed partial regions and outputs the previously-encodedmotion vectors via line L5061, for derivation of a motion vectorpredictor of a processing target sub-partition.

The motion reference candidate generator 5062 generates candidates forthe motion vector predictor from the motion vectors of the partialregions fed via line L5061, by a below-described method, based on theshape information fed via line L504. The motion reference candidategenerator 5062 outputs the candidates for motion vector predictor thusgenerated, via line L5062.

The motion vector predictor generator 5063 selects a candidate thatminimizes the difference from the motion vector of the processing targetsub-partition, from the candidates for motion vector predictor fed vialine L5062. The motion vector predictor generator 5063 outputs theselected candidate as a motion vector predictor via line L509. It alsooutputs the indication information to specify the selected candidate,via line L510.

If the number of candidates generated in the motion reference candidategenerator is limited to one, the output of the indication informationcan be omitted. There are no restrictions on a method to limit thenumber of candidates to one, but any method can be applied, for example,such as a method of using an intermediate value of three candidates, amethod of using an average of two candidates, and a method of defining apriority order for selection of one out of a plurality of candidates.

The below will describe the operation of the video encoding device 10and also describe a video encoding method according to an embodiment.FIG. 27 is a flowchart of the video encoding method according to anembodiment.

In an embodiment, as shown in FIG. 27, the block partitioner 501 firstpartitions an input image into a plurality of blocks, in step S501. Innext step S502, the sub-partition generator 502 partitions a targetblock into a plurality of sub-partitions, as described above. Thesub-partition generator 502 also generates the shape information asdescribed above.

In step S503, the motion detector 504 then obtains a motion vector of aprocessing target sub-partition, as described above. In subsequent stepS504, the predicted signal generator 505 generates a predicted signal ofthe target block, using the motion vectors of the respectivesub-partitions in the target block and the reference frame imagesignals, as described above.

In step S505, the motion predictor 506 then obtains a motion vectorpredictor. Furthermore, the motion predictor 506 generates theindication information to specify a candidate selected from a pluralityof candidates for the motion vector predictor. The details of theprocess of this step S505 will be described later. In subsequent stepS506, the subtracter 507 calculates the difference between the motionvector of each subblock and the motion vector predictor to generate adifferential motion vector as described above.

In step S507, the residual signal generator 508 then obtains thedifference between the image signal of the target block and thepredicted signal to generate a residual signal. In subsequent step S508,the transformer 509 performs orthogonal transformation of the residualsignal to generate transform coefficients. In subsequent step S509, thequantizer 510 quantizes the transform coefficients to generate quantizedtransform coefficients. In subsequent step S510, the inverse quantizer511 performs inverse quantization of the quantized transformcoefficients to generate inversely-quantized transform coefficients. Insubsequent step S511, the inverse transformer 512 performs inversetransformation of the inversely-quantized transform coefficients togenerate a reconstructed residual signal.

In step S512, the adder 513 then adds the predicted signal of the targetblock to the reconstructed residual signal to generate a reconstructedimage signal. In subsequent step S513, the reconstructed image signal isstored as a previously-reconstructed image signal in the frame memory503.

In step S514, the entropy encoder 514 then encodes the quantizedtransform coefficients, the shape information of the target block, theindication information of the motion vector predictor, and thedifferential motion vector.

In next step S515, it is determined whether all blocks have beenprocessed. If the processing is not completed for all the blocks, theprocessing from step S502 is continued for an unprocessed block as atarget. On the other hand, if the processing is completed for all theblocks, the processing is terminated.

The operation of the motion predictor 506 will be described below inmore detail. FIG. 28 is a flowchart showing the process of the motionpredictor according to an embodiment. The motion predictor 506 outputsthe motion vector predictor (hereinafter MVP) and the indicationinformation to specify MVP, according to the flowchart shown in FIG. 28.

In the process of the motion predictor 506, as shown in FIG. 28, thevalue of counter i is first set to 0, in step S505-1. It is assumedbelow that the process for the first sub-partition is carried out withi=0 and the process for the second sub-partition is carried out withi=1.

Next, step S505-2 is to generate candidates for MVP of a processingtarget sub-partition from motion vectors of previously-processed partialregions, according to a below-described method. The number of candidatesfor MVP is two in the present example. Namely, candidates for MVP may beset as follows: a motion vector of a previously-processed partial regionlocated to the left of the processing target sub-partition and a motionvector of a previously-processed partial region located above theprocessing target sub-partition are set as candidates for the motionvector predictor of the processing target sub-partition. In step S505-2,the number of generated candidates is set in Ncand.

Next, in step S505-3, it is determined whether NCand is “0.” When NCandis “0” (Yes), the processing proceeds to step S505-4. When NCand is not“0” (No), the processing proceeds to step S505-5.

In step S505-4, MVP is set to a zero vector and the processing proceedsto step S505-10. On this occasion, MVP may be set to a motion vector ofa predetermined block, a motion vector of a partial region processedimmediately before the processing target sub-partition, or the like,instead of the zero vector.

In step S505-5, it is determined whether NCand is “1.” When NCand is “1”(Yes), the processing proceeds to step S505-10. When NCand is not “1”(No), the processing proceeds to step S505-6.

In step S505-6, a MVP is selected from the candidates for MVP generatedin step S505-2. The MVP to be selected can be a candidate that minimizesthe difference from the motion vector of the processing targetsub-partition.

Next, S505-7 is to determine whether the MVP selected in step S505-6 isa left candidate, i.e., a motion vector of the left partial region. Whenthe MVP selected in step S505-6 is the left candidate (Yes), theprocessing proceeds to step S505-8. When the MVP selected in step S505-6is not the left candidate (No), the processing proceeds to step S505-9.

In step S505-8, the indication information mvp_left_flag=1 to indicatethat the MVP is the motion vector of the partial region located to theleft of the processing target sub-partition is output. On the otherhand, in step S505-9 the indication information mvp_left_flag=0 toindicate that the MVP is the motion vector of the partial region locatedabove the processing target sub-partition is output.

Next, in step S505-10, the MVP remaining as a candidate is output. Insubsequent step S505-11, “1” is added to the value of counter i.

Next, in step S505-12, it is determined whether the value of counter iis smaller than “2.” When the value of counter i is smaller than “2”(Yes), the processing proceeds to step S505-2. When the value of counteri is not smaller than “2” (No), the processing is terminated.

If step S505-2 is configured to limit the number of generated candidatesto one, the steps S505-5, S505-6, S505-7, S505-8, and S505-9 can beomitted. There are no restrictions on this limiting method, but it ispossible to adopt, for example, such a method as a method of using anintermediate value of three candidates, a method of using an average oftwo candidates, or a method of determining a priority order forselection of one out of a plurality of candidates, as described above inthe description of the motion vector predictor generator 5063. In theconfiguration wherein the number of candidates generated in step S505-2is limited to one, when NCand is not “0” in step S505-3 (No), theprocessing proceeds to step S505-10.

The method of generating candidates for the motion vector predictor ofthe processing target sub-partition in step S505-2 will be describedbelow in more detail. FIG. 29 is a drawing showing an example ofsub-partitions of a target block and surrounding partial regions.

The motion reference candidate generator 5062, as shown in FIG. 29,refers to partial region U1 and partial region L1 for the firstsub-partition SP1 and, when each of the partial regions is one havingbeen processed by inter-picture prediction, the motion referencecandidate generator 5062 employs the motion vector of the partial regionas a candidate for the motion vector predictor of the firstsub-partition SP1. Similarly, the motion reference candidate generator5062 refers to partial region U2 or partial region L2 for the secondsub-partition to generate candidates for the motion vector predictor ofthe second sub-partition. The partial regions U1, L1, U2, and L2 hereinare blocks or sub-partitions around the target block P and regionsserving as units of generation of the predicted signal. The partialregions may be blocks prepared for generation of candidates for themotion vector predictor (e.g., blocks generated by partition in a singleshape), irrespective of the units of generation of the predicted signal.

The partial region U1 is a partial region including a pixel Pi1(0,−1)neighboring above to the uppermost and leftmost pixel F(0,0) of thefirst sub-partition SP1, which is a previously-processed partial regionin contact with the sub-partition SP1. The partial region L1 is apartial region including a pixel Pi2(−1,0) neighboring left to theuppermost and leftmost pixel F(0,0) of the first sub-partition SP1,which is a partial region in contact with the first sub-partition SP1.The partial region U2 is a partial region neighboring right to a partialregion including a pixel Pi3(x1,−1), which is a partial region incontact with the x-axis. The partial region L2 is a partial regionneighboring below to a partial region including a pixel Pi4(−1,y1),which is a partial region in contact with the y-axis.

The x-coordinate x1 of the pixel Pi3 and the y-coordinate y1 of thepixel Pi4 may be calculated by formula (3) and formula (4).x1=ceil(−k/m)  (3)y1=ceil(k)  (4)Formulae (3) and (4) are formulae obtained by applying the functionceil(z) to values resulting from substitution of y=0 and x=0,respectively, into the linear expression (1) to express an extensionline Ln of a boundary as a partition between the first sub-partition SP1and the second sub-partition SP2. The function ceil(z) is called aceiling function, which is a function for deriving a minimum integer ofnot less than z, for real number z.

A floor function may be employed instead of the ceil function. Thefunction floor(z) is called a floor function, which is a function forderiving a maximum integer of not more than z, for real number z.

Furthermore, x1 and y1 may be calculated by formulae (5) and (6).x1=ceil((−1−k)/m)  (5)y1=ceil(−m+k)  (6)Formulae (5) and (6) are formulae obtained by applying the functionceil(z) to values resulting from substitution of y=−1 and x=−1,respectively, into formula (1).

Whether the partial regions U2 and L2 are existent is determined asdescribed below. Conditions for existence of the partial region U2 arethat it is in a picture and that formula (7) is satisfied. Conditionsfor existence of the partial region L2 are that it is in a picture andthat formula (8) is satisfied.0<x1  (7)0<y1  (8)

When the condition of formula (7) is not satisfied, the partial regionL2 exists between the second sub-partition SP2 and the partial regionU2. In that case, the partial region U2 more distant from the secondsub-partition SP2 than the partial region L2 closer to the secondsub-partition SP2 is less likely to have a motion vector close to thatof the second sub-partition SP2. In this case, the motion vector of thepartial region U2 can be excluded from candidates for the motion vectorpredictor by the condition of formula (7).

Likewise, when the condition of formula (8) is not satisfied, thepartial region U2 exists between the second sub-partition SP2 and thepartial region L2. In that case, the partial region L2 more distant fromthe second sub-partition SP2 than the partial region U2 closer to thesecond sub-partition SP2 is less likely to have a motion vector close tothat of the second sub-partition SP2. In that case, the motion vector ofthe partial region U2 can be excluded from candidates for the motionvector predictor by the condition of formula (8).

In an example, the conditions defined by formulae (9) and (10) below maybe used instead of the conditions of formulae (7) and (8).0<x1<blocksizeX  (9)0<y1<blocksizeY  (10)Here, blocksizeX and blocksizeY are the number of horizontal pixels andthe number of vertical pixels in the target block P. For example, whenthe target block P is a block of 8×8 pixels, blocksizeX=8 andblocksizeY=8.

By using the condition of formula (9) or formula (10), it is possible toexclude from candidates for the motion vector predictor, a motion vectorof a partial region having no contact with the second sub-partition SP2,out of the partial region U2 and the partial region L2. This allows onlycandidates for the motion vector predictor with conceivably highprediction accuracy to be left.

When the partial regions U1, L1, U2, and L2 are set as described above,candidates for the motion vector predictor of each sub-partition aregenerated from motion vectors of previously-processed partial regionslocated on the same side with respect to the extension line of theboundary between sub-partitions.

As long as the candidates for the motion vector predictor of thesub-partition SP2 are generated from motion vectors of partial regionsin the same domain as the sub-partition SP2 with respect to theextension line Ln of the boundary between the sub-partition SP2 and theother sub-partitions of the target block including the sub-partitionSP2, the generation method of the motion vector predictor is not limitedto that in the above-described embodiment. For example, the partialregion U2 may be a partial region including the pixel Pi3 and thepartial region L2 may be a partial region including the pixel Pi4.

A condition that the entire partial region is present in the same domainas the sub-partition SP2 with respect to the line Ln may be added as acondition for the motion vector of the partial region to be added tocandidates for the motion vector predictor of the sub-partition SP2. Inthis case, it is possible to employ, for example, a method of inspectingpositions of all the corners of the partial region.

Even if a partial region is not completely included in the same domainas a sub-partition with respect to the extension line, the motion vectorof the partial region may be employed as a candidate for the motionvector predictor of the sub-partition. FIG. 30 is a drawing showinganother example of sub-partitions of a target block and surroundingpartial regions. As shown as an example in FIG. 30, motion vectors ofpartial regions R_(A), R_(B), R_(G), and R_(E) may be used as candidatesfor the motion vector predictor of the first sub-partition SP1. A motionvector predictor of partial region R_(E) may be added to candidates forthe motion vector predictor of the second sub-partition SP2.

In the description about FIGS. 28 and 29, the number of motion vectorsserving as candidates for the motion vector predictor was at most two,but it is also possible to select two from the motion vectors obtainedby any of the above-described conditions. For example, the motion vectorof the partial region U2 shown in FIG. 29, and a motion vector of apartial region neighboring the partial region U2 may be selected ascandidates for the motion vector predictor. Likewise, the motion vectorof the partial region L2 and a motion vector of a partial regionneighboring the partial region U2 may be selected as candidates for themotion vector predictor. Furthermore, three or more motion vectors maybe selected as candidates for the motion vector predictor from themotion vectors specified by any of the above-described conditions.Moreover, an average or a median of a plurality of candidates for themotion vector predictor may be added to candidates for the motion vectorpredictor.

The block shape information can be used as a method for limiting thenumber of candidates for the motion vector predictor generated in stepS505-2 in FIG. 28 to at most one. For example, out of previously-encodedpartial regions in contact with a processing target sub-partition, amotion vector of a partial region with a maximum length of a portion incontact with the sub-partition may be added as a candidate for themotion vector predictor. It is also possible to employ a motion vectorof a previously-encoded partial region with a minimum shortest distancefrom a processing target sub-partition, as a candidate for the motionvector predictor of the sub-partition.

The above-described generation methods of candidates for the motionvector predictor can be applied to sub-partitions of any shape. FIG. 31is a drawing showing further examples of sub-partitions of a targetblock and surrounding partial regions. (A) of FIG. 31 showssub-partitions defined by a line Ln with a coordinate of y-intercept anda slope different from those of the line Ln shown in FIG. 29. (B) ofFIG. 31 shows sub-partitions defined by a line Ln with a slopeapproximately symmetric with that of the line Ln with respect to they-axis and with a coordinate of y-intercept different from that of theline Ln shown in FIG. 29. (C) of FIG. 31 shows sub-partitions defined bytwo lines Ln1 and Ln2. (D) of FIG. 31 shows sub-partitions defined bytwo lines Ln1 and Ln2 intersecting with each other. When the extensionline of the boundary as shown in (A) to (D) of FIG. 31 is used asreference, the partial regions L2 and U2 with motion vectors that can becandidates for the motion vector predictor of the sub-partition SP2 canbe specified by the aforementioned generation methods of candidates forthe motion vector predictor.

It is noted that the sub-partitions are not limited only to thosepartitioned by a straight line. For example, in the case where theshapes of sub-partitions are selected out of predetermined patterns, amotion vector of a previously-encoded partial region belonging to thesame domain as a processing target sub-partition with respect to anextension line of a boundary between sub-partitions can be used as acandidate for the motion vector predictor. If patterns of sub-partitionshapes are preliminarily defined, it is also possible to preliminarilydetermine a partial region with a motion vector to be adopted as acandidate for the motion vector predictor, for each shape pattern. Thepatterns may include the patterns to partition a target block intorectangular sub-partitions.

The aforementioned selection method of the motion vector predictor canalso be applied as a method of selecting a motion vector in generationof a predicted signal of a processing target sub-partition using motionvectors of previously-encoded partial regions. Namely, the predictedsignal of the processing target sub-partition may be generated using themotion vector predictor selected in step S505-2 in FIG. 28. In thiscase, there is no need for encoding of the differential motion vectorand therefore the motion vector predictor output from the motionpredictor 506 is not output to the subtracter 507 but to the predictedsignal generator 505.

Furthermore, the video encoding device 10 may be configured to determinewhether the differential motion vector is to be encoded, and to encodeapplication information to specify the result of the determination. Inthis modification, the motion predictor 506 may include a function toswitch output of the motion vector predictor either to the subtracter507 or to the predicted signal generator 505, based on the applicationinformation.

In this modification, it is unfavorable that motion vectors of all thesub-partitions in a target block become identical with each other,because the partitioning of the target block becomes meaningless.Namely, on the occasion of generating the candidates for motion vectorof a processing target sub-partition in step S505-2 in FIG. 28, a motionvector of a previously-encoded sub-partition in the target block may beexcluded from the candidates. For example, in the case where the targetblock is partitioned into two sub-partitions and where the motion vectorof the first sub-partitions is first encoded, the motion vector of thefirst sub-partitions is excluded from the candidates for the motionvector predictor of the second sub-partitions. If the motion vector ofthe first sub-partitions is the same as that of the partial region U2,the motion vector of the partial region U2 does not have to be used ingeneration of the motion vector predictor of the second sub-partition.

If whether the differential motion vector is to be encoded is indicated,the occurrence probability in arithmetic coding of the aforementionedapplication information may be adaptively determined according to thesub-partition shape information. For example, the occurrence probabilityfor the application information to indicate that the differential motionvector of the first sub-partition is not encoded can be set higher thanthat for the application information to indicate that the differentialmotion vector of the second sub-partition is not encoded. The reason forit is as follows: the second sub-partition may have no contact with anypreviously-encoded partial region, while the first sub-partition alwayshas a contact with a previously-encoded partial region; therefore, thesetting of the occurrence probabilities as described above may reduce acode amount of the application information.

The effect of one embodiment will be described with reference to FIG. 32showing an example of partitioning of a target block into rectangularsub-partitions, for simplicity. In this example, the target block P ispartitioned into a left sub-partition SP1 and a right sub-partition SP2by a straight line Ln. In this example, a motion vector of the firstsub-partition SP1 and a motion vector of a partial region R_(B) arecandidates for the motion vector predictor of the second sub-partitionSP2.

In the example shown in FIG. 32, if the predicted signal of the secondsub-partition SP2 is generated using the motion vector of the firstsub-partition SP1, the predicted signal of the first sub-partition SP1and the predicted signal of the second sub-partition SP2 will begenerated using the same motion vector, which makes partitioning of thetarget block into two sub-partitions meaningless. For this reason, thepredicted signal of the second sub-partition SP2 may be generated usingthe motion vector of the partial region R_(B) above the sub-partitionSP2. In the example shown in FIG. 32, therefore, it is preliminarilydetermined between the encoding device and the decoding device that thepredicted signal of the second sub-partition SP2 is to be generatedusing the motion vector of the partial region R_(B), which reducescandidates for the motion vector predictor and which eliminates a needfor transmitting indication information to indicate one motion vectorpredictor out of a plurality of candidates for the motion vectorpredictor.

Furthermore, a method for the video encoding device 10 to determinewhether the differential motion vector needs to be encoded (in which themotion predictor 506 switches the output of the motion vector predictoreither to the subtracter 507 or to the predicted signal generator 505 onthe basis of the application information) is discussed. At this time, ifthe motion vector of the partial region R_(B) is the same as that of thefirst sub-partition SP1, selection of either of the two candidates forthe motion vector predictor results in the same motion vector predictorof the second sub-partition SP2 as the motion vector of the firstsub-partition SP1. Therefore, it is preliminarily determined between theencoding device and the decoding device that if the two candidates formotion vector predictor are identical with each other, the predictedsignal of the second sub-partition SP2 is to be generated by the motionvector resulting from addition of the differential motion vector and themotion vector predictor, which eliminates a need for transmitting theapplication information to indicate whether the differential motionvector is to be encoded, in addition to the indication information.

In cases where a target block is partitioned into three or moresub-partitions as shown in FIG. 33, partitioning of the target block ismeaningful if the first sub-partition SP1, second sub-partition SP2, andthird sub-partition SP3 have the same motion vector and the fourthsub-partition SP4 only has a different motion vector. In such cases,therefore, the predicted signal of the second sub-partition SP2 and thepredicted signal of the third sub-partition SP3 may be generated usingthe motion vector of the first sub-partition SP1, instead of motionvectors of partial region R_(B) and partial region R_(E), respectively.However, for the fourth sub-partition SP4, if the motion vectors of thesecond sub-partition SP2 and the third sub-partition SP3 are the same,two candidates for the motion vector predictor become identical witheach other; therefore, by preliminarily determining a rule between theencoding device and the decoding device, it becomes unnecessary totransmit the indication information to indicate one motion vectorpredictor. Furthermore, if the first sub-partition SP1, secondsub-partition SP2, and third sub-partition SP3 have the same motionvector and if the predicted signal of the fourth sub-partition SP4 isgenerated using the motion vector of the second sub-partition SP2 or thethird sub-partition SP3, the four sub-partitions all will have the samemotion vector; therefore, by preliminarily determining a rule betweenthe encoding device and the decoding device, it also becomes unnecessaryto transmit the application information to indicate whether thedifferential motion vector is to be encoded, in addition to theindication information.

A video decoding device according to an embodiment will be describedbelow. FIG. 34 is a drawing schematically showing a configuration of thevideo decoding device according to an embodiment. The video decodingdevice 20 shown in FIG. 34 is a device that can generate a videosequence by decoding a compressed stream generated by the video encodingdevice 10.

As shown in FIG. 34, the video decoding device 20 is provided with datadecoder 601, motion predictor 602, adder 603, inverse quantizer 604,inverse transformer 605, frame memory 606, predicted signal generator607, and adder 608.

The data decoder 601 analyzes a compressed stream input via line L601.The data decoder 601 sequentially performs the processing describedbelow, for each block as a decoding target (hereinafter a target block).

The data decoder 601 decodes encoded data associated with the targetblock in the compressed stream to restore the quantized transformcoefficients of the target block, and outputs the quantized transformcoefficients via line L602. The data decoder 601 also decodes encodeddata to restore the shape information of the target block, and outputsthe shape information via line L603. On this occasion, the partitionapplicability information to indicate whether the target block needs tobe partitioned is restored, and if the partition applicabilityinformation indicates no need for partitioning of the target block, theshape information does not have to be restored.

The data decoder 601 also decodes the encoded data to restore theindication information for each sub-partition in the target block, i.e.,the information to indicate one of a plurality of candidates for motionvector predictor, and outputs the indication information via line L604.The data decoder 601 also decodes the encoded data to restore thedifferential motion vector of the target block, and outputs thedifferential motion vector via line L605. Furthermore, the data decoder601 can adaptively determine the occurrence probability in decoding ofencoded data on the occasion of restoring the indication information ofthe motion vector predictor, based on the shape information of thetarget block. A method for implementing it can be, for example, to set ahigher occurrence probability for the indication information to indicatea motion vector of a partial region in contact with a processing targetsub-partition, as a motion vector predictor.

The motion predictor 602 generates a motion vector predictor of aprocessing target sub-partition, based on the shape information fed vialine L603 and motion vectors of partial regions prior in a processingorder, fed via line L606, and based on the indication information fedvia line L604, and outputs the motion vector predictor via line L607. Bynarrowing down candidates for the motion vector predictor to one by apredetermined method, it is also possible to omit the input of theindication information.

The adder 603 adds the motion vector predictor fed via line L607, to thedifferential motion vector fed via line L605, to generate a motionvector of a target block or a motion vector of a sub-partition in thetarget block, and outputs the motion vector via line L606.

The inverse quantizer 604 performs inverse quantization of the quantizedtransform coefficients fed via line L602, to generateinversely-quantized transform coefficients. The inverse quantizer 604outputs the inversely-quantized transform coefficients thus generated,via line L608.

The inverse transformer 605 performs inverse orthogonal transformationof the inversely-quantized transform coefficients fed via line L608, togenerate a reconstructed residual signal. The inverse transformer 605outputs the reconstructed residual signal thus generated, via line L609.

If the reconstructed residual signal generated is not one subjected toquantization, the video decoding device 20 does not have to be providedwith the inverse quantizer 604. Similarly, if the reconstructed residualsignal generated is not one subjected to transformation, the videodecoding device 20 does not have to be provided with the inversetransformer 605.

The frame memory 606 stores previously-reconstructed image signals fedvia line L610, i.e., frame image signals prior in the processing orderto the processing target input image (which will be referred tohereinafter as reference frame image signals). Furthermore, the framememory 606 outputs the reference frame image signals via line L611.

The predicted signal generator 607 generates a predicted signal of eachsub-partition image in the target block, based on the motion vector fedvia line L606 and the shape information fed via line L603, from an imagesignal in a predetermined range of the reference frame image signals fedvia line L611. The predicted signal generator 607 outputs the predictedsignal thus generated, via line L612. Although description is omitted inthe present specification, the predicted signal may be generated byintra-picture prediction besides the inter-picture prediction.

The adder 608 adds the reconstructed residual signal fed via line L609,to the predicted signal of the target block fed via line L612, togenerate a reconstructed image signal. The adder 608 outputs thereconstructed image signal via line L610.

FIG. 35 is a drawing showing a configuration of the motion predictoraccording to an embodiment. As shown in FIG. 35, the motion predictor602 has a motion vector memory 6021, a motion reference candidategenerator 6022, and a motion vector predictor generator 6023.

The motion vector memory 6021 stores motion vectors fed via line L606.The motion vectors stored in the motion vector memory 6021 are motionvectors of previously-processed partial regions prior in the processingorder to the target block or the processing target sub-partition. Themotion vector memory 6021 outputs the stored motion vectors via lineL6021, for derivation of the motion vector predictor for the processingtarget sub-partition.

The motion reference candidate generator 6022 generates candidates forthe motion vector predictor from the motion vectors fed via line L6021,by a below-described method, based on the shape information fed via lineL603, and outputs them via line L6022.

The motion vector predictor generator 6023 determines a motion vectorpredictor, based on the indication information of the motion vectorpredictor fed via line L604, from the candidates for the motion vectorpredictor fed via line L6022, and outputs the determined motion vectorpredictor via line L607. If the number of candidates to be generated inthe motion reference candidate generator is limited to one, the input ofthe indication information to specify the candidate to be selected canbe omitted.

The below will describe the operation of the video decoding device 20and a video decoding method according to an embodiment. FIG. 36 is aflowchart of a video decoding method according to an embodiment. In anembodiment, as shown in FIG. 36, in step S621, the data decoder 601first decodes the encoded data in the compressed data about a targetblock, as described above, to restore the quantized transformcoefficients, shape information, and differential motion vector of thetarget block. In step S621, the partition applicability information andindication information may be restored. Furthermore, in step S621, theinverse quantizer 604 may generate the inversely-quantized transformcoefficients from the quantized transform coefficients restored, and theinverse transformer 605 may generate a reconstructed residual signalfrom the inversely-quantized transform coefficients.

In step S622, the motion predictor 602 then determines the motion vectorpredictor of the processing target step S621, for each step S621 in thetarget block serving as a processing target. In subsequent step S623,the adder 603 adds the motion vector predictor of the processing targetstep S621 to the differential motion vector to generate a motion vector.

In step S624, the predicted signal generator 607 then generates thepredicted signal from the reference frame image signals in the framememory 606, using the motion vector of the target block. In subsequentstep S625, the adder 608 adds the predicted signal of the target blockto the reconstructed residual signal to generate a reconstructed imagesignal.

In step S626, the reconstructed image signal generated in step S625 isthen stored as a previously-reconstructed image signal into the framememory 606. In subsequent step S627, it is determined whether theprocessing is completed for all the blocks. If the processing is notcompleted for all the blocks, the processing from step S621 is continuedusing an unprocessed block as a target block. On the other hand, whenthe processing is completed for all the blocks, the processing isterminated.

The operation of the motion predictor 602 will be described below indetail. FIG. 37 is a flowchart showing processing of the motionpredictor according to an embodiment. The motion predictor 602 generatesthe motion vector predictor, according to the flowchart shown in FIG.37.

In an embodiment, in step S615-1, the value of counter i is set to “0.”It is assumed hereinafter that the processing for the firstsub-partition is carried out with i=0 and the processing for the secondsub-partition is carried out with i=1.

In next step S615-2, two candidates (left candidate and upper candidate)that can be the motion vector predictor of the processing targetsub-partition are determined according to one of the methods describedabove using FIGS. 29, 30, 31, 32, and 33, out of motion vectors ofpartial regions prior in the processing order to the processing targetsub-partition.

In step S615-3, it is then determined whether the number NCand ofcandidates generated in step S615-2 is “0.” When NCand is “0” (Yes), theprocessing proceeds to step S615-4. When NCand is not “0” (No), theprocessing proceeds to step S615-5.

In step S615-4, the motion vector predictor MVP is set to a zero vectorand the processing proceeds to step S615-11. On this occasion, it isalso possible to set a motion vector of a predetermined block or amotion vector of a partial region immediately prior in the processingorder to the processing target sub-partition, instead of the zerovector, as the motion vector predictor MVP.

In step S615-5, it is determined whether the number NCand of candidatesgenerated in step S615-2 is “1.” When NCand is “1” (Yes), the processingproceeds to step S615-6. When NCand is not “1” (No), the processingproceeds to step S615-7.

In step S615-6, the candidate generated in step S615-2 is set as MVP.Then the processing proceeds to step S615-11.

In step S615-7, the information mvp_left_flag to indicate the MVP to beselected is acquired from the candidates generated in step S615-2. Thenthe processing proceeds to step S615-8.

In step S615-8, it is determined whether the value of mvp_left_flag is“1.” When the value of mvp_left_flag is “1” (Yes), the processingproceeds to step S615-9. When the value of mvp_left_flag is not “1”(No), the processing proceeds to step S615-10.

Step S615-9 is to set a motion vector of a partial region on the leftside of the processing target sub-partition as MVP. Then the processingproceeds to step S615-11.

Step S615-10 is to set a motion vector of a partial region on the leftside of the processing target sub-partition as MVP. Then the processingproceeds to step S615-11.

Step S615-11 is to output the MVP thus set. Then the processing proceedsto step S615-12.

Next, step S615-12 is to add “1” to the value of counter i. Then theprocessing proceeds to step S615-13.

Next, step S615-13 is to determine whether the value of counter i issmaller than “2.” When the value of counter i is smaller than “2” (Yes),the processing proceeds to step S615-2. On the other hand, when thevalue of counter i is not smaller than 2 (No), the processing isterminated.

By limiting the number of candidates for the motion vector predictor tobe generated, to one in step S615-2, the processes of steps S615-5,S615-6, S615-7, S615-8, S615-9, and S615-10 can be omitted. There are norestrictions on a method for this limitation, as described above as tothe motion vector predictor generator 6023, but it is possible to use,for example, such a method as a method using an intermediate value ofthree candidates, a method using an average of two candidates, or amethod of preliminarily determining a priority order for selection ofone motion vector predictor out of a plurality of candidates for themotion vector predictor. In that case, when NCand is not “0” (No) instep S615-03, the processing proceeds to step S615-6.

The above-described method can be applied as a motion vector selectionmethod in the case where the predicted signal of the processing targetsub-partition is generated using previously-decoded motion vectors.Namely, the predicted signal of the processing target sub-partition maybe generated using the motion vector predictor selected in step S615-2in FIG. 37. In this case, there is no need for decoding of thedifferential motion vector, and therefore the motion vector predictoroutput from the motion predictor 602 is not output to the adder 603 butto the predicted signal generator 607.

Furthermore, the data decoder 601 may be configured to decodeapplication information to specify whether the differential motionvector is to be decoded. In this modification, the motion predictor 602may include a function to switch the output of the motion vectorpredictor either to the adder 603 or to the predicted signal generator607, based on the application information.

In this modification, it is unfavorable that the motion vectors of allthe sub-partitions in the target block become identical with each other,because partitioning of the target block becomes meaningless. In thismodification, therefore, a motion vector of a sub-partition included inthe target block and located prior in the processing order to theprocessing target sub-partition may be excluded from the candidates forthe motion vector predictor, on the occasion of generating thecandidates for the motion vector predictor of the processing targetsub-partition in step S615-2 in FIG. 37. For example, in the case wherethe target block is partitioned into two sub-partitions and where themotion vector of the first sub-partition is first restored, the motionvector of the first sub-partitions is excluded from candidates for themotion vector predictor of the second sub-partition. If the motionvector of the first sub-partition is the same as that of the partialregion U2, the motion vector of the partial region U2 does not have tobe used in generation of the motion vector predictor of the secondsub-partition.

In this modification, the occurrence probability in arithmetic decodingof the application information to indicate whether the differentialmotion vector is to be decoded can be adaptively determined according tothe shape information. This method can be configured, for example, toset a higher probability of not encoding the differential motion vector,for the first sub-partition always being in contact with apreviously-encoded region, than that for the second sub-partitionpossibly having no contact with any previously-decoded partial region.Since the effect of this modification was already described using FIGS.34 and 35, the description thereof is omitted herein.

The below will describe a video encoding program for letting a computeroperate as the video encoding device 10 and a video decoding program forletting a computer operate as the video decoding device 20.

FIG. 38 is a drawing showing a configuration of the video encodingprogram according to an embodiment. FIG. 39 is a drawing showing aconfiguration of the video decoding program according to an embodiment.Reference will be made below to FIG. 18 showing the hardwareconfiguration of the computer according to an embodiment and FIG. 19showing the perspective view of the computer according to an embodiment,as well as FIGS. 38 and 39.

The video encoding program P10 shown in FIG. 38 can be provided asstored in the recording medium SM. The video decoding program P20 shownin FIG. 38 can also be provided as stored in the recording medium SM.Examples of recording media SM include recording media such as floppydisks, CD-ROMs, DVDs, or ROMs, or semiconductor memories, or the like.

As described above, the computer C10 may be provided with the readingdevice C12 such as a floppy disk drive unit, a CD-ROM drive unit, or aDVD drive unit, the working memory (RAM) C14 in which an operatingsystem is resident, the memory C16 storing programs stored in therecording medium SM, the monitor device C18 such as a display, the mouseC20 and keyboard C22 as input devices, the communication device C24 fortransmission and reception of data and others, and the CPU C26 tocontrol execution of the programs.

When the recording medium SM is put into the reading device C12, thecomputer C10 becomes accessible to the video encoding program P10 storedin the recording medium SM, through the reading device C12, and becomesable to operate as the video encoding device 10, based on the programP10.

When the recording medium SM is put into the reading device C12, thecomputer C10 becomes accessible to the video decoding program P20 storedin the recording medium SM, through the reading device C12, and becomesable to operate as the video decoding device 20, based on the programP20.

As shown in FIG. 19, the video encoding program P10 and the videodecoding program P20 may be those provided in the form of computer datasignal CW superimposed on a carrier wave, through a network. In thiscase, the computer C10 can execute the program P10 or P20 after thevideo encoding program P10 or the video decoding program P20 received bythe communication device C24 is stored into the memory C16.

As shown in FIG. 38, the video encoding program P10 includes blockpartitioning module M101, sub-partition generator module M102, storagemodule M103, motion detection module M104, predicted signal generationmodule M105, motion prediction module M106, subtraction module M107,residual signal generation module M108, transform module M109,quantization module M110, inverse quantization module M111, inversetransform module M112, addition module M113, and entropy encoding moduleM114.

In an embodiment, the block partitioning module M101, sub-partitiongenerator module M102, storage module M103, motion detection moduleM104, predicted signal generation module M105, motion prediction moduleM106, subtraction module M107, residual signal generation module M108,transform module M109, quantization module M110, inverse quantizationmodule M111, inverse transform module M112, addition module M113, andentropy encoding module M114 cause the computer C10 to execute the samefunctions as the block partitioner 501, sub-partition generator 502,frame memory 503, motion detector 504, predicted signal generator 505,motion predictor 506, subtracter 507, residual signal generator 508,transformer 509, quantizer 510, inverse quantizer 511, inversetransformer 512, adder 513, and entropy encoder 514, respectively, inthe video encoding device 10. Based on this video encoding program P10,the computer C10 becomes able to operate as the video encoding device10.

As shown in FIG. 39, the video decoding program P20 includes datadecoding module M201, motion prediction module M202, addition moduleM203, inverse quantization module M204, inverse transform module M205,storage module M206, predicted signal generation module M207, andaddition module M208.

In an embodiment, the data decoding module M201, motion predictionmodule M202, addition module M203, inverse quantization module M204,inverse transform module M205, storage module M206, predicted signalgeneration module M207, and addition module M208 cause the computer C10to execute the same functions as the data decoder 601, motion predictor602, adder 603, inverse quantizer 604, inverse transformer 605, framememory 606, predicted signal generator 607, and adder 608, respectively,in the video decoding device 20. Based on this video decoding programP20, the computer C10 becomes able to operate as the video decodingdevice 20.

A variety of embodiments of the image prediction encoding/decodingsystem were described above in detail. It is, however, noted that thepresent invention is by no means intended to be limited to the aboveembodiments. The present invention can be modified in many ways withoutdeparting from the scope and spirit of the invention.

REFERENCE SIGNS LIST

100 image predictive encoding device; 101 input terminal; 102 blockpartitioner; 103 predicted signal generator; 104 frame memory; 105subtracter; 106 transformer; 107 quantizer; 108 inverse quantizer; 109inverse transformer; 110 adder; 111 quantized transform coefficientencoder; 112 output terminal; 113 prediction block partitioning typeselector; 114 motion information estimator; 115 prediction informationmemory; 116 prediction information encoder; 201 input terminal; 202 dataanalyzer; 203 inverse quantizer; 204 inverse transformer; 205 adder; 206output terminal; 207 quantized transform coefficient decoder; 208prediction information decoder; 10 video encoding device; 20 videodecoding device; 501 block partitioner; 502 sub-partition generator; 503frame memory; 504 motion detector; 505 predicted signal generator; 506motion predictor; 507 subtracter; 508 residual signal generator; 509transformer; 510 quantizer; 511 inverse quantizer; 512 inversetransformer; 513 adder; 514 entropy encoder; 601 data decoder; 602motion predictor; 603 adder; 604 inverse quantizer; 605 inversetransformer; 606 frame memory; 607 predicted signal generator; 608adder; 5061 motion vector memory; 5062 motion reference candidategenerator; 5063 motion vector predictor generator; 6021 motion vectormemory; 6022 motion reference candidate generator; 6023 motion vectorpredictor generator.

The invention claimed is:
 1. An image predictive decoding methodcomprising: a data analysis step of extracting with a processor, fromcompressed data of an image, encoded data of prediction information toindicate a prediction method to be used in prediction of a signal of atarget region serving as a decoding target, encoded data of a predictedsignal of the target region, and encoded data of a residual signal,wherein the compressed data of the image is a result of partition into aplurality of regions and encoding of the target region; a predictioninformation decoding step of decoding the encoded data of the predictioninformation with the processor to restore a prediction blockpartitioning type and motion information, the prediction blockpartitioning type indicating a number of prediction regions and regionshapes of the prediction regions, wherein the prediction regions aresub-partitioned regions of the target region, and the motion informationis used for acquisition of each of a plurality of predicted signals ofthe respective prediction regions from a previously-reconstructedsignal; a predicted signal generation step of generating the predictedsignal of the target region with the processor based on the predictioninformation associated with the target region; a residual signalrestoration step of restoring with the processor a reconstructedresidual signal of the target region from the encoded data of theresidual signal; and a recording step of the processor adding thepredicted signal to the reconstructed residual signal to restore a pixelsignal of the target region, and storing the pixel signal as thepreviously-reconstructed signal, wherein the prediction informationdecoding step further comprises the steps of: decoding with theprocessor the prediction block partitioning type of the target regionand storing the prediction block partitioning type as previously-decodedprediction information into a prediction information storage that storespreviously-decoded prediction information; selecting a candidate formotion information with the processor to be used in generation of apredicted signal of a target prediction region serving as a nextprediction region based on: the prediction information of a regionneighboring the target region, a number of previously-decoded predictionregions in the target region, and the previously-decoded predictioninformation of the target region, wherein, when the prediction blockpartitioning type indicates that the target region is horizontallypartitioned into a first prediction region on the upper side and asecond prediction region on the lower side, and the target predictionregion serving as the next prediction region is the second predictionregion, the candidate for motion information is selected frompreviously-decoded motion information of a region neighboring the targetprediction region and excluding the first prediction region; decodingwith the processor, according to a number of candidates for motioninformation selected, merging block information using the selectedcandidate for motion information and the motion information, or decodingwith the processor either one of the merging block information or themotion information, wherein the merging block information is indicativeof generation of the predicted signal of the target prediction region;and storing the motion information to be used in generation of thepredicted signal of the target prediction region into the predictioninformation storage.
 2. The image predictive decoding method accordingto claim 1, wherein the motion information includes a motion vector anda reference frame number.
 3. An image predictive decoding methodexecuted by a processor of an image predictive decoding device toimplement: extracting from compressed image data (a) encoded predictioninformation indicating a prediction method to be used in deriving aprediction signal of a target region to be decoded and (b) an encodedresidual signal, wherein the compressed image data is a result frompartitioning into a plurality of regions and encoding of the regions;decoding the encoded prediction information to restore prediction blockpartitioning type information indicating a number of prediction blockssub-partitioned in the target region; if the prediction blockpartitioning type information indicates that the target region ishorizontally partitioned into a first prediction block on the upper sideand a second prediction block on the lower side, further decoding theencoded prediction information to restore first merge identificationinformation indicating whether or not to utilize motion informationassociated with neighboring regions neighboring the first predictionblock when generating a prediction signal of the first prediction blockand to restore second merge identification information indicatingwhether or not to utilize motion information associated with neighboringregions neighboring the second prediction block when generating aprediction signal of the second prediction block; if the first mergeidentification information indicates not to utilize the motioninformation of the neighboring regions of the first prediction block,further decoding the encoded prediction information to restore firstmotion information for use in generating the prediction signal of thefirst prediction block; if the first merge identification informationindicates to utilize the motion information of the neighboring regionsof the first prediction block, further decoding the encoded predictioninformation to restore first selection information identifying firstmerge motion information associated with a neighboring region of thefirst prediction block for use in generating the prediction signal ofthe first prediction block and to restore the identified first mergemotion information; if the second merge identification informationindicates not to utilize the motion information of the neighboringregions of the second prediction block, further decoding the encodedprediction information to restore second motion information for use ingenerating the prediction signal of the second prediction block; if thesecond merge identification information indicates to utilize the motioninformation of the neighboring regions of the second prediction block,further decoding the encoded prediction information to restore secondselection information identifying second merge motion informationassociated with a neighboring regions of the second prediction block foruse in generating the prediction signal of the second prediction blockand to restore the identified second merge motion information, whereinthe first merge motion information is excluded from the motioninformation of the neighboring regions of the second prediction blockfrom which the second merge motion information is identified by thesecond selection information; using either the first motion informationor the first merge motion information and either the second motioninformation or the second merge motion information, generating theprediction signal of each of the first and second prediction blocks inthe target region; decoding the encoded residual signal to restore aresidual signal for the target region; and generating a restored pixelsignal of the target region from the prediction signal of each of thefirst and second prediction block and the restored residual signal andstoring the restored pixel signal as a reconstructed image signal. 4.The image predictive decoding method according to claim 3, wherein themotion information includes a motion vector and a reference framenumber.
 5. An image predictive decoding device comprising: a processor;a data analysis unit executable by the processor to extract, fromcompressed data of an image: encoded data of prediction information toindicate a prediction method to be used in prediction of a signal of atarget region serving as a decoding target, encoded data of a predictedsignal of the target region, and encoded data of a residual signal; thecompressed data of the image resulting from partition into a pluralityof regions and encoding of the target region; a prediction informationdecoding unit executable by the processor to decode the encoded data ofthe prediction information to restore a prediction block partitioningtype and motion information, the prediction block partitioning typeindicating a number of prediction regions and region shapes of theprediction regions, wherein the prediction regions are sub-partitionedregions of the target region, and the motion information is used foracquisition of each of a plurality of predicted signals of therespective prediction regions from a previously-reconstructed signal; apredicted signal generation unit executable by the processor to generatethe predicted signal of the target region based on the predictioninformation associated with the target region; a residual signalrestoration unit executable by the processor to restore a reconstructedresidual signal of the target region from the encoded data of theresidual signal; and a recording unit executable by the processor to addthe predicted signal to the reconstructed residual signal to restore apixel signal of the target region, and to store the pixel signal as thepreviously-reconstructed signal, wherein the prediction informationdecoding unit includes prediction information storage means adapted tostore previously-decoded prediction information of the target region,and the prediction information decoding unit is further executable todecode the prediction block partitioning type of the target region andstore the prediction block partitioning type into the predictioninformation storage means; the prediction information decoding unitfurther executable to select a candidate for motion information to beused in generation of a predicted signal of a target prediction regionserving as a next prediction region, the candidate for motioninformation selected based on: the prediction information of a regionneighboring the target region, a number of previously-decoded predictionregions in the target region, and the previously-decoded predictioninformation of the target region, wherein, when the prediction blockpartitioning type indicates that the target region is horizontallypartitioned into a first prediction region on the upper side and asecond prediction region on the lower side, and the target predictionregion serving as the next prediction region is the second predictionregion, the candidate for motion information is selected frompreviously-decoded motion information of a region neighboring the targetprediction region and excluding the first prediction region; andaccording to the number of candidates for motion information selected,the prediction information decoding unit further executable to decodemerging block information using the selected candidate for motioninformation and the motion information, or decode either one of themerging block information or the motion information, wherein the mergingblock information is indicative of generation of the predicted signal ofthe target prediction region; the prediction information decoding unitfurther executable to store the motion information to be used ingeneration of the predicted signal of the target prediction region intothe prediction information storage means.
 6. An image predictivedecoding device comprising a processor and a memory that stores aprogram for programming the processor to: extract from compressed imagedata (a) encoded prediction information indicating a prediction methodto be used in deriving a prediction signal of a target region to bedecoded and (b) an encoded residual signal, wherein the compressed imagedata is a result from partitioning into a plurality of regions andencoding of the regions; decode the encoded prediction information torestore prediction block partitioning type information indicating anumber of prediction blocks in the target region; if the predictionblock partitioning type information indicates that the target region ishorizontally partitioned into a first prediction block on the upper sideand a second prediction block on the lower side, further decode theencoded prediction information to restore first merge identificationinformation indicating whether or not to utilize motion informationassociated with neighboring regions neighboring the first predictionblock when generating a prediction signal of the first prediction blockand to restore second merge identification information indicatingwhether or not to utilize motion information associated with neighboringregions neighboring the second prediction block when generating aprediction signal of the second prediction block; if the first mergeidentification information indicates not to utilize the motioninformation of the neighboring regions of the first prediction block,further decode the encoded prediction information to restore firstmotion information for use in generating the prediction signal of thefirst prediction region; if the first merge identification informationindicates to utilize the motion information of the neighboring regionsof the first prediction block, further decode the encoded predictioninformation to restore first selection information identifying firstmerge motion information associated with a neighboring region of thefirst prediction block for use in generating the prediction signal ofthe first prediction block and to restore the identified first mergemotion information; if the second merge identification informationindicates not to utilize the motion information of the neighboringregions of the second prediction block, further decode the encodedprediction information to restore second motion information for use ingenerating the prediction signal of the second prediction block; if thesecond merge identification information indicates to utilize the motioninformation of the neighboring regions of the second prediction block,further decode the encoded prediction information to restore secondselection information identifying second merge motion informationassociated with a neighboring region of the second prediction block foruse in generating the prediction signal of the second prediction blockand to restore the identified second merge motion information, whereinthe first merge motion information is excluded from the motioninformation of the neighboring regions of the second prediction blockfrom which the second merge motion information is identified by thesecond selection information; using either the first motion informationor the first merge motion information and either the second motioninformation or the second merge motion information, generate theprediction signal of each of the first and second prediction blocks inthe target region; decode the encoded residual signal to restore aresidual signal for the target region; and generate a restored pixelsignal of the target region from the prediction signal of each of thefirst and second prediction blocks and the restored residual signal andstore the generated pixel signal as a reconstructed image signal.